I
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ne
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ia
n J
o
urna
l o
f
E
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rica
l En
g
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a
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Co
m
p
u
t
er
Science
Vo
l.
21
,
No
.
1
,
J
an
u
ar
y
202
1
,
p
p
.
4
5
7
~4
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4
I
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cs.v
2
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.
pp
4
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46
4
457
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D f
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li.r
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iq
1.
I
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f
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an
d
im
m
e
r
s
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p
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f
o
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m
an
c
e
[
1
]
.
V
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VR
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[
2
]
.
B
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3
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v
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r
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h
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m
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t
im
p
o
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t
f
ea
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r
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s
o
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tw
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p
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r
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at
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s
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im
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ti
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,
Sh
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L
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it
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l
f
i
lm
s
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n
d
3
D
v
i
d
e
o
g
am
e
[
3
]
.
B
len
d
er
h
as
ad
d
ed
,
o
v
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tim
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i
m
p
r
ess
i
v
e
to
u
c
h
es
i
n
th
e
Dig
ital
C
i
n
e
m
a
a
n
d
an
i
m
atio
n
m
o
v
ies
in
d
u
s
tr
y
.
T
h
ese
f
il
m
s
h
a
v
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ac
h
iev
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g
r
ea
t
s
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cc
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s
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o
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s
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cia
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m
ed
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n
et
w
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r
k
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d
also
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as
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o
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in
ter
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l
a
w
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s
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T
h
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m
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ies
h
a
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e
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o
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s
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in
ter
est
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ter
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“
Sp
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p
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ce
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b
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B
len
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An
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Stu
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Evaluation Warning : The document was created with Spire.PDF for Python.
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I
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d
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J
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g
&
C
o
m
p
Sci,
Vo
l.
21
,
No
.
1
,
J
an
u
ar
y
2
0
2
1
:
4
5
7
-
46
4
458
B
lin
d
er
is
v
er
y
co
m
p
atib
le
w
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h
v
ir
t
u
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r
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lit
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(
VR
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tec
h
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ies.
As
its
v
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t
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3
D
v
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w
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v
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m
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a
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d
its
to
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s
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Fi
g
u
r
e
1
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r
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la
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g
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s
p
ac
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in
th
e
m
an
u
f
ac
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r
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al
w
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ld
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a
s
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h
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cr
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f
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h
ar
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,
3
D
f
ac
es
ar
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a
r
ef
lectio
n
o
f
r
ea
l
p
eo
p
le
p
r
esen
t
in
o
u
r
r
ea
l
w
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ld
.
th
e
m
ai
n
ai
m
to
d
e
s
ig
n
a
v
ir
tu
al
en
v
ir
o
n
m
e
n
t(
VE
)
,
its
i
n
ter
co
n
n
ec
t
th
e
v
ir
t
u
al
w
o
r
ld
to
t
h
e
r
ea
l
b
y
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s
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n
g
ar
ti
f
icial
in
ele
g
an
ce
o
r
I
o
T
tech
n
o
lo
g
i
es
[
4
]
.
v
ir
tu
al
en
v
ir
o
n
m
e
n
t(
V
E
)
em
p
o
w
er
in
g
d
esig
n
er
s
to
v
ir
tu
a
ll
y
i
m
p
le
m
en
t
th
e
t
h
o
u
g
h
ts
a
n
d
af
ter
w
ar
d
v
ie
w
i
t i
n
a
r
ea
l
-
w
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ld
,
t
h
en
en
ab
le
th
e
d
esi
g
n
er
s
to
d
is
p
la
y
t
h
ei
r
3
D
v
is
u
aliza
tio
n
s
o
n
a
2
D
p
c
s
cr
ee
n
[
5
]
.
T
h
e
b
asic
ap
p
r
o
ac
h
to
m
a
k
i
n
g
t
h
ese
ap
p
licatio
n
s
(
B
len
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h
a
v
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n
g
a
v
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tu
a
l
en
v
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o
n
m
e
n
t
(
VE
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d
esi
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ed
w
it
h
s
p
ec
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f
ic
p
r
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g
r
a
m
m
i
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g
l
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g
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s
i
m
u
lated
w
it
h
3
D
a
n
i
m
atio
n
to
o
lb
o
x
[
6
]
.
Fig
u
r
e
1
.
B
len
d
er
v
ir
tu
al
3d
v
i
e
w
p
o
r
t e
n
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,
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al
t
o
o
ls
B
lin
d
er
So
f
t
w
ar
e
is
a
n
i
n
te
g
r
ated
w
o
r
k
e
n
v
ir
o
n
m
e
n
t
t
h
at
co
n
v
er
t
s
d
esi
g
n
er
s
'
id
ea
s
in
to
v
ir
t
u
al
m
o
d
el
s
p
r
o
g
r
a
m
m
ab
le
b
y
p
r
o
g
r
a
m
m
er
s
[
7
]
.
B
u
ild
in
g
a
3
D
m
o
d
el
li
k
e
f
ac
es
i
n
s
id
e
t
h
e
v
ir
tu
a
l
en
v
ir
o
n
m
en
t
(
VE
)
r
eq
u
ir
es
a
ce
r
tain
ef
f
o
r
t.
W
h
at's
m
o
r
e,
th
i
s
ex
er
tio
n
is
p
r
ed
ictab
le
ac
co
r
d
in
g
to
th
e
m
et
h
o
d
s
u
s
ed
i
n
th
e
s
o
f
t
w
ar
e
[
8
]
.
I
n
t
h
is
p
ap
er
,
th
e
g
o
al
w
i
ll
b
e
b
u
ild
i
n
g
t
h
e
3
D
m
o
d
el
o
f
t
h
e
h
u
m
an
f
ac
e
i
n
t
h
e
3
D
v
ir
t
u
al
en
v
ir
o
n
m
e
n
t
(
VE
)
o
f
B
li
n
d
e
r
So
f
t
w
ar
e
v
ia
2
D
i
m
a
g
es
o
f
ce
leb
r
itie
s
,
ar
tis
t
s
,
o
r
t
h
e
p
u
b
lic.
T
h
ese
f
ac
es
co
n
s
id
er
ar
e
th
e
m
ain
p
ar
t
o
f
cr
ea
tin
g
v
ir
tu
a
l
ch
ar
ac
ter
s
to
b
e
u
s
ed
in
th
e
a
n
i
m
atio
n
m
o
v
ie
s
in
d
u
s
tr
y
o
r
v
ir
tu
a
l
r
ea
lit
y
(
VR
)
s
i
m
u
latio
n
s
y
s
te
m
s
.
T
h
is
d
u
t
y
is
d
o
n
e
th
r
o
u
g
h
th
e
u
s
e
o
f
Kee
n
T
o
o
ls
Face
B
u
ild
er
to
b
u
ild
in
g
3
D
m
o
d
els
o
f
h
u
m
a
n
f
ac
es
a
n
d
h
ea
d
s
u
s
i
n
g
a
co
u
p
le
o
f
p
h
o
to
g
r
ap
h
s
.
T
h
e
m
ai
n
ai
m
cr
ea
ti
o
n
o
f
t
h
e
3
D
f
ac
e
f
r
o
m
s
ev
er
al
o
f
2
D
p
h
o
to
s
.
is
u
s
ed
s
h
o
u
ld
b
e
h
i
g
h
r
eso
l
u
ti
o
n
,
n
o
n
-
b
lu
r
r
i
n
g
an
d
h
i
g
h
s
h
ar
p
n
ess
.
I
n
o
r
d
er
to
o
b
tain
h
i
g
h
l
y
s
h
ar
p
i
m
a
g
es
t
h
at
g
iv
e
ad
v
a
n
ce
d
r
esu
l
ts
d
u
r
in
g
th
e
u
s
e
o
f
t
h
e
s
e
to
o
ls
,
w
e
s
u
g
g
ested
u
s
i
n
g
Op
en
C
V
ap
p
licatio
n
s
,
P
y
th
o
n
lan
g
u
a
g
e
w
it
h
“L
ap
lacia
n
o
p
er
ato
r
”.
T
h
e
tech
n
o
lo
g
ical
ad
v
a
n
ce
m
e
n
t
o
f
d
ig
ita
l
ca
m
er
as
p
r
o
v
id
es
h
i
g
h
q
u
alit
y
ca
p
t
u
r
ed
i
m
a
g
es
w
ith
v
er
y
b
ig
d
ata
[
9
]
.
B
u
t th
e
p
r
o
b
le
m
i
s
s
till
i
n
t
h
e
u
s
er
,
it
m
a
y
b
e
u
n
p
r
o
f
ess
io
n
al
o
r
n
o
t e
x
p
er
ie
n
ce
d
in
tak
i
n
g
p
ictu
r
es
an
d
th
er
ef
o
r
e
w
e
g
et
h
i
g
h
-
r
e
s
o
lu
tio
n
i
m
ag
e
s
b
u
t
th
e
y
co
n
ta
in
b
lu
r
an
d
in
co
r
r
ec
t
an
g
le
o
f
p
h
o
to
g
r
ap
h
y
.
T
h
e
h
u
m
a
n
e
y
e
s
ca
n
n
o
t
ac
cu
r
atel
y
d
is
tin
g
u
i
s
h
i
m
a
g
e
b
lu
r
r
in
g
as
w
ell
as
t
h
e
d
eg
r
ee
o
f
clar
it
y
th
r
o
u
g
h
t
h
e
u
s
e
o
f
d
ig
ital
ca
m
er
a
s
.
I
t
is
th
e
m
ai
n
p
r
o
b
lem
w
e
f
ac
e
w
h
e
n
3
D
f
ac
es
cr
ea
te
w
it
h
in
B
le
n
d
er
s
o
f
t
w
ar
e
b
y
u
s
in
g
o
f
Kee
n
T
o
o
ls
Face
B
u
ild
er
.
Sin
ce
th
e
o
f
f
icial
w
eb
s
ite
o
f
Kee
n
T
o
o
ls
Face
B
u
ild
er
s
a
id
(
W
ith
Face
B
u
ild
er
y
o
u
d
o
n
'
t
n
ee
d
to
b
e
an
ex
p
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ie
n
ce
d
3
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m
o
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eler
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o
cr
ea
te
a
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alit
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3
D
m
o
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el
w
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to
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.
b
u
t
A
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th
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a
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ti
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icia
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w
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ite
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id
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ig
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itio
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l
u
r
-
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r
ee
,
s
h
ar
p
,
an
d
w
it
h
a
f
r
a
m
e
s
ize
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f
1
9
2
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x
1
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8
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p
ix
els,
w
h
at
's
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o
r
e,
t
h
ese
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r
er
eq
u
i
s
ites
ar
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h
ar
d
to
ac
co
m
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h
b
y
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o
v
ices
o
r
t
h
e
in
d
iv
id
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w
h
o
d
o
n
'
t
h
a
v
e
a
n
ex
ac
t
co
m
p
u
ter
ized
ca
m
er
a.
I
t
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r
ea
l
p
r
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b
lem
th
at
w
as
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co
u
n
ter
ed
w
h
i
le
d
esig
n
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g
a
3
D
f
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s
id
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lin
d
er
s
o
f
t
w
ar
e
b
y
u
s
i
n
g
Kee
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T
o
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ls
f
ac
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u
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.
A
n
d
w
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,
in
th
e
p
ap
er
,
w
ill
w
o
r
k
to
s
o
lv
e
t
h
i
s
p
r
o
b
lem
p
r
o
g
r
a
m
m
atica
ll
y
b
y
u
s
i
n
g
Op
e
n
C
V
tec
h
n
o
lo
g
ies,
“L
ap
lacia
n
f
ilter
”
w
it
h
P
y
t
h
o
n
lan
g
u
a
g
e.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4752
3
D
fa
ce
crea
tio
n
via
2
D
ima
g
es w
ith
in
b
len
d
er v
ir
tu
a
l e
n
viro
n
men
t
(
A
li S
a
lim R
a
s
h
ee
d
)
459
2.
G
E
NE
R
AL
S
T
A
G
E
S P
I
P
E
L
I
N
E
T
h
e
w
a
y
to
cr
ea
te
3
D
h
u
m
a
n
f
ac
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i
n
s
id
e
B
li
n
d
er
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th
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s
a
m
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w
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y
to
co
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p
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ter
g
r
ap
h
ic
p
ip
elin
e
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s
ed
in
a
n
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m
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n
cr
ea
tio
n
an
d
v
ir
tu
al
r
ea
li
t
y
(
VR
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s
y
s
te
m
s
b
u
i
ld
.
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h
e
p
ip
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t
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h
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y
s
te
m
s
u
s
e
to
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r
ep
ar
in
g
o
f
i
n
f
o
r
m
at
io
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p
g
r
ad
e
th
e
3
D
f
ac
e
m
o
d
el
r
en
d
er
i
n
g
[
1
0
]
,
as sh
o
w
n
in
F
ig
u
r
e
2
.
Fig
u
r
e
2
.
Gen
er
al
s
ta
g
es p
ip
eli
n
e
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o
r
3d
f
ac
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cr
ea
tio
n
2
.
1
.
K
ee
n t
o
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ls
ins
t
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llin
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o
co
n
s
tr
u
ct
a
3
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ch
ar
ac
ter
th
at
n
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e
s
s
i
ties
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m
e
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d
ex
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tio
n
m
a
y
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n
u
m
er
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s
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r
s
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h
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in
its
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f
is
a
f
u
t
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t
h
at
ca
n
b
e
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t
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eso
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r
ce
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to
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d
if
f
er
en
t
ac
tiv
it
ies
in
a
s
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m
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ie
ld
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o
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g
en
t
u
p
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th
e
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r
esen
t
g
e
n
er
al
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etti
n
g
,
t
h
e
clien
t
is
allo
w
ed
to
in
telli
g
e
n
tl
y
cr
ea
to
r
a
v
ir
tu
al
en
v
ir
o
n
m
en
t
(
VE
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[
1
1
]
.
Fo
r
th
is
r
ea
s
o
n
,
t
h
e
u
s
e
o
f
to
o
ls
a
v
ailab
le
to
i
m
p
le
m
en
t
in
B
li
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er
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f
t
w
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r
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x
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an
d
f
u
r
t
h
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m
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o
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e
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ti
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m
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ter
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ated
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lity
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ap
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.
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ar
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atch
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e
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to
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o
r
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m
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ased
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t
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s
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n
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g
i
v
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n
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asto
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W
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h
ca
n
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e
in
s
talled
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r
o
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th
e
Kee
n
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ite.
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n
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iv
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a
3
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m
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el
t
h
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e
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etr
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en
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n
i
m
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as
s
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o
w
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n
Fig
u
r
e
3
.
Fig
u
r
e
3
.
Kee
n
to
o
ls
f
ac
e
b
u
i
l
d
er
in
s
tallatio
n
in
b
le
n
d
er
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4752
I
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d
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t
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en
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ir
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n
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eq
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ir
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r
esu
lt.
T
h
at
is
co
n
d
itio
n
s
a
n
d
f
u
n
d
a
m
en
tal
v
ar
iab
les
f
r
o
m
it
o
u
g
h
t
to
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e
ac
ce
s
s
ib
le
i
n
Ke
en
T
o
o
ls
Face
b
u
ild
er
.
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h
ich
s
h
o
u
ld
b
e
h
ig
h
-
d
e
f
in
itio
n
p
ict
u
r
es,
n
o
n
-
b
lu
r
r
in
g
,
w
i
th
h
i
g
h
s
h
ar
p
n
e
s
s
a
n
d
w
i
th
d
i
m
en
s
io
n
s
o
f
f
r
a
m
e
s
ize
1
9
2
0
x
1
0
8
0
p
i
x
els.
T
h
e
w
o
r
ld
is
w
it
n
e
s
s
i
n
g
d
ail
y
a
lar
g
e
in
cr
ea
s
e
in
t
h
e
n
u
m
b
er
o
f
d
ig
ital
i
m
a
g
e
s
w
ith
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h
e
i
n
cr
ea
s
e
in
d
ig
ital
ca
m
er
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a
n
d
th
e
ad
v
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n
ce
m
e
n
t
o
f
it
s
tec
h
n
o
lo
g
ie
s
r
ap
id
ly
[
1
2
]
,
w
i
th
th
e
w
id
e
s
p
r
ea
d
u
s
e
o
f
d
i
g
ital
ca
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er
as,
m
a
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u
s
er
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ta
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p
o
o
r
q
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d
i
g
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p
h
o
to
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e
to
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lack
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x
p
er
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ce
.
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t
i
s
t
h
e
f
u
n
d
a
m
e
n
tal
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g
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t
in
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o
b
tain
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o
f
a
b
lu
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r
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p
h
o
to
[
1
3
]
.
I
n
ad
d
itio
n
to
th
e
p
r
o
ce
s
s
o
f
ca
p
tu
r
in
g
2
D
i
m
a
g
es
u
s
i
n
g
t
h
e
s
e
d
ig
ital
d
ev
ice
s
,
v
ar
y
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n
g
f
r
o
m
th
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h
i
g
h
est
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lu
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a
n
d
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clea
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to
th
e
least
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lu
r
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d
th
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i
g
h
est
s
h
ar
p
n
e
s
s
an
d
clar
it
y
.
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h
ic
h
r
elies
o
n
t
h
e
p
er
s
o
n
'
s
as
s
o
ciatio
n
w
it
h
c
u
tti
n
g
ed
g
e
p
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o
to
g
r
ap
h
y
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cc
o
r
d
in
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l
y
,
I
m
ag
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Data
Set
w
a
s
b
u
ilt
co
n
ta
in
i
n
g
2
D
i
m
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g
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o
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th
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s
a
m
e
ac
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y
,
b
u
t
t
h
e
y
d
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f
f
er
in
clar
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n
d
b
lu
r
r
in
g
,
ac
co
r
d
in
g
to
t
h
e
f
o
llo
w
i
n
g
:
a)
Use
t
h
e
f
r
ee
I
m
a
g
e
d
ata
s
et,
f
r
o
m
Op
e
n
Vi
s
u
al
FX
B
lo
g
w
h
ic
h
co
n
tai
n
s
s
e
v
en
i
m
ag
e
s
o
f
t
h
e
A
cto
r
–
T
im
Dela
n
o
at
1
9
2
0
x
1
0
8
0
p
ix
el
r
eso
lu
t
io
n
,
n
o
n
-
b
l
u
r
r
in
g
a
n
d
h
i
g
h
s
h
ar
p
n
e
s
s
.
b)
B
y
u
s
i
n
g
th
e
AC
D
See
P
h
o
to
Stu
d
io
Ulti
m
ate
ap
p
licatio
n
,
f
o
u
r
d
if
f
er
e
n
t
b
lu
r
o
p
er
atio
n
s
(
(
a)
R
ad
ial
b
lu
r
[
1
4
]
,
(
b
)
Sp
r
ea
d
b
lu
r
[
1
5
]
,
(
c
)
S
m
ar
t b
lu
r
[
1
6
]
,
(
d
)
Gau
s
s
ian
b
lu
r
[
1
7
]
)
,
a
r
e
ap
p
lied
to
ea
ch
o
f
th
e
o
r
ig
i
n
al
7
i
m
ag
e
s
,
w
h
ic
h
w
er
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ex
p
lai
n
ed
b
ef
o
r
e,
an
d
t
h
u
s
w
e
h
a
v
e
a
n
e
w
i
m
a
g
es
d
ata
s
et
co
n
s
is
ti
n
g
o
f
3
5
d
if
f
er
e
n
t i
m
ag
e
s
in
b
l
u
r
r
y
,
s
h
a
r
p
n
ess
an
d
clar
it
y
p
h
o
to
s
,
as s
h
o
w
n
i
n
Fi
g
u
r
e
4
.
A
d
d
a
s
elf
-
a
s
s
er
ti
v
e
n
u
m
b
er
to
a
d
ataset
o
f
i
m
ag
e
s
.
I
t
w
i
ll
b
e
p
r
o
m
p
tl
y
tr
ied
u
til
izin
g
Op
en
C
V
ap
p
licatio
n
s
w
it
h
th
e
P
y
t
h
o
n
l
an
g
u
a
g
e.
Fig
u
r
e
4
.
I
m
a
g
es
d
ata
s
et
co
n
t
ain
s
o
r
ig
i
n
al
i
m
a
g
es (
s
h
ar
p
n
es
s
)
an
d
d
if
f
er
en
t b
lu
r
r
y
i
m
a
g
es
3.
L
AP
L
A
CIAN F
I
L
T
E
R,
O
P
E
NCV
W
I
T
H
P
Y
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H
O
N
a)
th
e
2
D
i
m
a
g
es
th
a
t
w
er
e
cr
ea
t
ed
in
t
h
e
d
ata
s
et
t
h
at
w
as d
es
cr
ib
ed
an
d
d
etailed
in
t
h
e
p
a
s
t
p
ar
ag
r
ap
h
,
ar
e
in
cr
ea
s
i
n
g
l
y
s
i
m
ilar
to
a
lo
t
o
f
ir
r
eg
u
lar
p
ictu
r
es
t
h
at
ex
i
s
t
in
s
id
e
a
ca
m
er
a
o
f
d
i
f
f
er
e
n
t
s
h
ar
p
n
es
s
an
d
b
lu
r
r
in
g
.
C
ap
t
u
r
ed
b
y
a
u
s
er
o
r
a
m
ate
u
r
.
I
t
w
ill
b
e
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t
ilized
t
o
b
u
ild
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e
3
D
f
ac
e
o
f
an
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m
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n
s
id
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e
B
lin
d
er
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ir
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al
e
n
v
ir
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n
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e
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(
VE
)
,
w
h
ic
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is
u
s
ed
to
d
ev
elo
p
th
e
v
ir
t
u
al
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ea
lit
y
(
V
R
)
ap
p
licatio
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s
.
A
s
p
er
th
e
ac
co
m
p
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g
:
\
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1
)
Op
en
C
V
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s
a
lib
r
ar
y
o
f
p
r
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g
r
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m
m
i
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ca
p
ac
ities
cr
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I
n
tel
an
d
n
o
w
s
u
p
p
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r
ted
b
y
W
illo
w
Gar
ag
e
[
1
8
]
.
I
t
co
n
s
is
ts
o
f
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ies o
f
C
f
u
n
ctio
n
s
an
d
a
f
e
w
C
++
cla
s
s
es
[
1
9
]
.
b)
L
ap
lacia
n
o
p
er
ato
r
is
a
s
h
ar
p
en
in
g
f
ilter
.
Af
ter
ap
p
l
y
in
g
a
L
ap
lacia
n
f
ilter
to
t
h
e
i
m
a
g
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a
n
e
w
i
m
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is
o
b
tain
ed
h
i
g
h
li
g
h
t
in
g
ed
g
es
a
n
d
o
th
er
d
is
co
n
ti
n
u
itie
s
[
2
0
]
.
I
t
is
th
e
m
o
s
t
w
id
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y
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s
ed
k
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s
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d
-
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ter
[
2
1
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o
f
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p
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atu
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W
h
at
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m
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th
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f
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w
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w
a
s
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n
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ar
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lar
i
m
a
g
e
[
2
2
,
23]
.
W
h
at’
s
m
o
r
e,
f
o
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an
ele
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n
t o
f
p
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r
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x
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f
2
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co
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d
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d
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y
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A
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461
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en
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h
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ca
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a
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ap
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els ar
e
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n
in
Fi
g
u
r
e
5
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Fig
u
r
e
5
.
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w
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m
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e
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d
is
cr
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x
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s
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e
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(
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; h
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t
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ap
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n
b
e
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lcu
lated
u
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.
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n
el
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h
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e,
th
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en
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iti
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T
o
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ter
th
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,
t
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o
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Gau
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s
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th
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e
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ly
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h
e
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n
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ilter
.
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h
is
p
r
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s
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n
g
s
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r
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ce
s
th
e
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ig
h
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r
eq
u
en
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y
n
o
is
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co
m
p
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en
t
s
p
r
io
r
to
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d
if
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er
en
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s
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.
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s
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h
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v
o
lu
tio
n
o
p
er
atio
n
is
ass
o
ciati
v
e,
w
e
ca
n
co
n
v
o
lv
e
t
h
e
Ga
u
s
s
ian
s
m
o
o
th
in
g
f
ilter
w
it
h
th
e
L
ap
lacia
n
f
il
ter
f
ir
s
t
o
f
all,
an
d
t
h
en
co
n
v
o
lv
e
t
h
is
h
y
b
r
id
f
ilter
w
it
h
t
h
e
im
ag
e
to
ac
h
iev
e
t
h
e
r
eq
u
ir
ed
r
esu
lt.
Do
in
g
th
i
n
g
s
t
h
is
w
a
y
h
a
s
t
w
o
ad
v
a
n
tag
e
s
:
Sin
ce
b
o
th
th
e
Gau
s
s
ia
n
a
n
d
th
e
L
ap
lacia
n
k
er
n
els
ar
e
u
s
u
all
y
m
u
ch
s
m
aller
t
h
an
th
e
i
m
ag
e,
th
i
s
m
et
h
o
d
u
s
u
al
l
y
r
eq
u
ir
es
f
ar
f
e
w
er
ar
ith
m
etic
o
p
er
atio
n
s
.
T
h
e
L
o
G
(
`
L
ap
lacia
n
o
f
Gau
s
s
ian
'
)
k
er
n
el
ca
n
b
e
p
r
ec
alcu
lated
in
ad
v
a
n
ce
s
o
o
n
l
y
o
n
e
co
n
v
o
lu
t
io
n
n
ee
d
s
to
b
e
p
er
f
o
r
m
ed
at
r
u
n
-
ti
m
e
o
n
t
h
e
i
m
a
g
e.
T
h
e
2
-
D
L
o
G
f
u
n
ctio
n
ce
n
ter
e
d
o
n
ze
r
o
an
d
w
i
th
Ga
u
s
s
ia
n
s
t
an
d
ar
d
d
ev
iatio
n
h
as th
e
f
o
r
m
:
4.
SH
ARP
NE
SS
I
M
AG
E
S E
X
T
RAC
T
I
O
N
I
m
ag
e
p
atter
n
r
ec
o
g
n
itio
n
d
e
p
en
d
ed
o
n
Featu
r
e
ex
tr
ac
tio
n
th
at
is
n
o
t
an
ea
s
y
w
a
y
[
2
4
]
.
A
f
te
r
ap
p
ly
i
n
g
th
e
L
ap
lacia
n
f
ilter
alg
o
r
ith
m
u
s
in
g
t
h
e
Op
en
C
V
w
it
h
P
y
t
h
o
n
la
n
g
u
a
g
es.
B
lu
r
r
y
i
m
a
g
es
ar
e
s
ep
ar
ated
f
r
o
m
s
h
ar
p
en
in
g
,
h
i
g
h
-
r
eso
l
u
tio
n
(
1
9
2
0
x
1
0
8
0
p
ix
el)
i
m
a
g
es
to
b
e
r
ea
d
y
to
u
s
e
in
th
e
p
r
o
ce
s
s
o
f
b
u
ild
in
g
th
e
3
D
f
ac
e
o
f
a
ch
ar
ac
ter
w
it
h
in
t
h
e
B
l
in
d
er
v
ir
tu
al
en
v
ir
o
n
m
e
n
t
(
VE
)
u
s
i
n
g
Kee
n
T
o
o
ls
Face
b
u
ild
er
.
5.
3
D
F
ACE CRE
AT
I
O
N
Vir
tu
al
r
ea
lit
y
(
VR
)
is
a
co
m
p
u
ter
-
b
ased
in
ter
ac
tiv
e
s
ti
m
u
l
atio
n
tech
n
o
lo
g
y
th
a
t
attr
ac
ts
a
s
p
ec
if
ic
v
ir
tu
a
l
en
v
ir
o
n
m
en
t
(
VE
)
u
s
e
d
f
o
r
d
esig
n
an
d
s
i
m
u
latio
n
p
u
r
p
o
s
es
[
2
5
]
.
A
d
d
s
ev
en
2
D
im
ag
e
s
w
it
h
d
if
f
er
en
t
ex
p
r
ess
io
n
s
an
d
p
er
s
p
ec
tiv
es
to
Kee
n
to
o
ls
Face
b
u
ild
er
w
ith
i
n
B
len
d
er
s
o
f
t
w
ar
e
f
o
r
3
D
h
u
m
an
f
ac
e
b
u
ild
s
tep
s
i
m
p
le
m
e
n
tatio
n
,
as s
h
o
w
n
in
Fig
u
r
e
6
.
T
h
ese
s
ev
e
n
p
h
o
to
s
w
i
ll
b
e
g
eo
m
e
tr
icall
y
p
r
ep
ar
ed
an
d
f
it
o
n
th
e
3
D
h
u
m
a
n
f
ac
e
m
o
d
el
.
E
ac
h
o
f
th
ese
i
m
ag
e
s
t
h
at
w
er
e
p
r
ev
io
u
s
l
y
ad
d
ed
to
B
lin
d
er
is
s
eq
u
en
tiall
y
s
elec
ted
.
E
ac
h
ti
m
e
c
h
o
o
s
in
g
a
p
ar
ticu
lar
2
D
i
m
a
g
e,
w
ir
ef
r
a
m
e
p
an
el
w
i
ll
s
h
o
w
u
p
i
n
b
lu
e.
Us
in
g
t
h
e
p
in
s
p
r
o
v
id
ed
b
y
th
e
s
e
to
o
ls
,
t
h
e
w
ir
e
f
r
a
m
e
p
an
e
l
w
il
l
b
e
ad
j
u
s
ted
an
d
f
ix
ed
to
th
e
b
o
u
n
d
ar
ies
an
d
f
ea
t
u
r
es
o
f
th
e
d
if
f
er
en
t
f
ac
es.
W
h
er
e
th
es
e
p
in
s
p
la
y
a
m
aj
o
r
r
o
le
in
th
e
p
r
o
ce
s
s
o
f
d
eter
m
i
n
in
g
t
h
e
f
ac
ial
f
ea
tu
r
e
s
o
f
th
e
3
d
f
ac
e
o
f
ch
ar
ac
ter
,
as s
h
o
w
n
i
n
Fi
g
u
r
e
7
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
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4752
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n
d
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1
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J
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ar
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-
46
4
462
Fig
u
r
e
6
.
A
d
d
2
D
i
m
ag
e
s
to
k
ee
n
to
o
ls
f
ac
e
b
u
i
ld
er
w
it
h
i
n
b
len
d
er
s
o
f
t
w
ar
e
Fig
u
r
e
7
.
W
ir
ef
r
a
m
e
p
an
el
to
ad
j
u
s
t o
n
th
e
2
D
f
ac
e
6.
O
B
J
E
CT
RE
ND
E
R
I
N
G
Ma
k
i
n
g
r
e
n
d
er
ab
le
3
D
m
o
d
els
f
r
o
m
ac
t
u
al
o
b
j
ec
ts
in
th
e
r
ea
l
w
o
r
ld
is
a
p
r
o
b
lem
a
n
d
a
b
ig
ch
alle
n
g
e
[
2
6
]
.
A
3
D
o
b
j
ec
t r
en
d
er
in
g
c
an
b
e
e
n
h
an
ce
d
w
h
ic
h
is
p
er
f
o
r
m
ed
u
s
i
n
g
a
p
ip
eli
n
e
co
n
ce
p
t.
T
h
ese
e
n
g
i
n
ee
r
i
n
g
ad
j
u
s
t
m
e
n
ts
o
f
th
e
w
ir
ef
r
a
m
e
p
an
el
o
n
t
h
e
f
ac
e
s
i
n
t
h
e
s
e
v
e
n
d
if
f
er
en
t
i
m
ag
e
s
ar
e
th
e
e
x
p
r
ess
io
n
s
an
d
a
n
g
le
s
o
f
a
p
ar
ticu
lar
ch
ar
ac
ter
u
s
in
g
p
in
s
,
w
h
ic
h
is
o
n
e
o
f
t
h
e
m
a
in
f
ea
tu
r
es
a
v
ailab
le
i
n
th
i
s
to
o
l,
w
h
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h
r
eq
u
ir
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tr
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in
g
m
o
r
e
th
a
n
o
n
ce
to
in
cr
ea
s
e
s
k
ills
an
d
m
aster
y
.
I
n
t
h
e
R
en
d
er
s
ta
g
e,
t
h
e
r
es
u
lt
i
s
t
r
an
s
lated
to
t
h
e
3
D
f
ac
e.
T
h
e
m
o
d
el
o
f
t
h
e
3
D
f
ac
e
ca
u
s
ed
b
y
th
e
R
e
n
d
er
is
a
g
r
o
u
p
o
f
p
ix
e
ls
af
f
ec
ted
b
y
t
h
e
en
g
i
n
ee
r
in
g
ca
lcu
latio
n
s
i
n
th
e
co
m
p
u
ter
g
r
ap
h
ic
as
w
ell
as
t
h
e
d
eg
r
ee
s
o
f
illu
m
i
n
atio
n
an
d
s
h
ad
in
g
[
2
7
]
.
T
h
is
m
o
d
el
ca
n
b
e
u
s
ed
to
p
r
o
d
u
ce
v
id
eo
s
,
an
im
atio
n
,
a
n
d
v
ir
t
u
al
r
ea
lit
y
(
V
R
)
ap
p
licatio
n
s
,
as s
h
o
w
n
i
n
F
ig
u
r
e
8
.
Fig
u
r
e
8
.
3
d
f
ac
e
m
o
d
el
af
ter
r
en
d
er
s
tag
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
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m
p
Sci
I
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N:
2502
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4752
3
D
fa
ce
crea
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via
2
D
ima
g
es w
ith
in
b
len
d
er v
ir
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a
l e
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t
(
A
li S
a
lim R
a
s
h
ee
d
)
463
7.
CO
NCLU
SI
O
N
B
u
ild
in
g
a
3
D
m
o
d
el
o
f
f
ac
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s
w
ith
in
th
e
B
lin
d
er
v
ir
tu
al
en
v
ir
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n
m
en
t
(
VE
)
u
s
i
n
g
Kee
n
T
o
o
ls
Face
b
u
ild
er
r
eq
u
ir
es
s
ev
er
al
2
D
im
ag
e
s
o
f
a
s
p
ec
if
ic
c
h
ar
ac
ter
.
T
h
ese
p
ictu
r
es
s
h
o
u
ld
b
e
n
o
n
-
b
lu
r
r
in
g
w
it
h
h
i
g
h
s
h
ar
p
n
e
s
s
a
n
d
ac
c
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r
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y
.
T
h
i
s
is
a
m
aj
o
r
p
r
o
b
lem
,
t
h
at
3
D
f
ac
e
m
o
d
el
d
esi
g
n
er
s
m
a
y
e
n
c
o
u
n
ter
u
s
in
g
t
h
e
s
e
to
o
ls
,
esp
ec
iall
y
t
h
at
th
e
h
u
m
an
e
y
e
ca
n
n
o
t
ac
h
iev
e
t
h
i
s
d
is
ti
n
ctio
n
w
it
h
h
ig
h
ac
c
u
r
ac
y
b
ec
au
s
e
th
e
p
h
o
to
g
r
ap
h
er
m
a
y
b
e
a
m
ateu
r
o
r
u
n
p
r
o
f
es
s
io
n
a
l.
Af
ter
t
h
at
b
u
ilt
d
ata
s
et
f
o
r
2
D
i
m
ag
e
s
o
f
d
if
f
er
e
n
t b
l
u
r
r
in
g
a
(
f
o
u
r
t
y
p
es
o
f
b
lu
r
r
y
)
a
n
d
s
h
a
r
p
n
ess
,
an
d
g
iv
e
t
h
e
d
ata
s
et
a
r
an
d
o
m
i
n
d
ex
n
u
m
b
er
.
S
u
p
p
o
s
ed
it
w
as
a
g
r
o
u
p
o
f
p
ict
u
r
es
ta
k
e
n
f
r
o
m
an
i
n
d
iv
id
u
al
u
t
ilizi
n
g
a
co
m
p
u
te
r
ized
ca
m
er
a.
I
n
t
h
is
p
ap
er
p
r
o
p
o
s
ed
u
s
in
g
th
e
L
ap
lacia
n
Fil
ter
alg
o
r
it
h
m
w
i
t
h
Op
en
C
V
ap
p
licatio
n
s
u
s
i
n
g
th
e
P
y
t
h
o
n
p
r
o
g
r
a
m
m
i
n
g
lan
g
u
a
g
e,
to
g
et
r
id
o
f
2
D
i
m
a
g
es
w
i
th
b
l
u
r
r
in
g
a
n
d
t
h
e
s
u
r
v
i
v
al
o
f
i
m
a
g
es
w
i
th
h
i
g
h
s
h
ar
p
n
es
s
,
w
h
ich
ac
h
ie
v
ed
h
ig
h
an
d
r
ea
l r
es
u
lt
s
in
is
o
lat
in
g
an
d
n
eg
lecti
n
g
b
l
u
r
r
y
i
m
ag
e
s
a
n
d
th
e
u
s
e
o
f
h
i
g
h
s
h
ar
p
n
e
s
s
i
m
a
g
es
in
b
u
ild
i
n
g
m
o
d
els
f
o
r
3
D
f
ac
es.
P
er
f
o
r
m
i
n
g
e
n
g
i
n
ee
r
in
g
o
p
er
atio
n
s
o
n
f
ac
es
i
n
t
h
e
s
e
lecte
d
2
D
i
m
ag
e
s
u
s
i
n
g
a
w
ir
ef
r
a
m
e
p
a
n
el
w
it
h
p
in
s
,
a
3
D
f
ac
e
m
o
d
el
w
as p
r
o
d
u
ce
d
.
RE
F
E
R
E
NC
E
S
[1
]
M
.
Ra
e
e
s
a
n
d
S
.
Ullah
,
“
DO
P
:
Disc
o
v
e
r
Ob
jec
ts
a
n
d
P
a
t
h
s,
a
m
o
d
e
l
f
o
r
a
u
to
m
a
ted
n
a
v
ig
a
ti
o
n
a
n
d
se
lec
ti
o
n
i
n
v
irt
u
a
l
e
n
v
iro
n
m
e
n
ts,
”
T
u
rk
ish
J
.
El
e
c
tr.
En
g
.
Co
m
p
u
t
.
S
c
i.
,
v
o
l.
2
7
,
n
o
.
4
,
p
p
.
2
7
8
4
-
2
7
9
7
,
2
0
1
9
.
[2
]
H.
Iz
wa
n
Ra
h
m
a
t,
S
.
A
h
m
a
d
,
a
n
d
M
.
Ism
a
il
,
“
Co
ll
a
b
o
ra
ti
v
e
v
irt
u
a
l
re
a
li
t
y
a
p
p
li
c
a
ti
o
n
f
o
r
in
terio
r
d
e
sig
n
,
”
In
d
o
n
e
s.
J
.
El
e
c
tr.
En
g
.
C
o
mp
u
t.
S
c
i.
(
IJ
EE
CS
)
,
v
o
l
.
1
6
,
n
o
.
1
,
p
.
5
0
0
,
2
0
1
9
,
d
o
i
:
1
0
.
1
1
5
9
1
/i
jee
c
s.v
1
6
.
i
1
.
p
p
5
0
0
-
5
0
7
.
[3
]
F
.
A
lec
u
,
“
Blen
d
e
r
In
sti
tu
te
–
th
e
I
n
stit
u
te f
o
r
O
p
e
n
3
D
P
ro
jec
ts,
”
Op
e
n
S
o
u
rc
e
S
c
i
.
J
.
,
v
o
l
.
2
,
n
o
.
1
,
p
p
.
3
6
-
4
5
,
2
0
1
0
.
[4
]
K.
T
a
b
a
ss
u
m
,
“
U
sin
g
w
irele
ss
a
n
d
m
o
b
il
e
tec
h
n
o
lo
g
ies
to
e
n
h
a
n
c
e
tea
c
h
in
g
a
n
d
lea
rn
in
g
stra
teg
i
e
s,”
In
d
o
n
e
s.
J
.
El
e
c
tr.
En
g
.
Co
m
p
u
t
.
S
c
i
(
IJ
EE
C
S
)
.
,
v
o
l
.
1
7
,
n
o
.
3
,
p
p
.
1
5
5
5
-
1
5
6
1
,
2
0
2
0
,
d
o
i:
1
0
.
1
1
5
9
1
/i
jee
c
s.v
1
7
.
i3
.
p
p
1
5
5
5
-
1
5
6
1
.
[5
]
S
.
Na
sir,
M
.
N.
Zah
i
d
,
T
.
A
.
Kh
a
n
,
K.
Ka
d
ir,
a
n
d
S
.
Kh
a
n
,
“
A
u
g
m
e
n
ted
re
a
li
ty
a
n
e
c
o
n
o
m
ica
l
so
lu
ti
o
n
f
o
r
e
n
g
in
e
e
rs
a
n
d
d
e
sig
n
e
rs,”
In
d
o
n
e
s.
J
.
El
e
c
tr.
En
g
.
Co
mp
u
t.
S
c
i.
(
IJ
EE
CS
)
,
v
o
l.
1
7
,
n
o
.
2
,
p
p
.
8
3
3
-
8
4
4
,
2
0
1
9
,
d
o
i
:
1
0
.
1
1
5
9
1
/i
jee
c
s.v
1
7
.
i
2
.
p
p
8
3
4
-
8
4
4
.
[6
]
Ö.
BA
Ş
ER
a
n
d
E.
I.
Ko
n
u
k
se
v
e
n
,
“
7
-
DO
F
Ha
p
ti
c
d
e
v
ice
a
n
d
in
terfa
c
e
d
e
si
g
n
,
”
T
u
rk
ish
J
.
El
e
c
tr.
En
g
.
Co
m
p
u
t
.
S
c
i.
,
v
o
l
.
2
1
,
n
o
.
2
,
p
p
.
4
9
3
-
4
9
9
,
2
0
1
3
.
[7
]
R.
G
u
p
ta,
R.
Na
w
a
n
i,
a
n
d
V
.
P
.
T
a
lreja
,
“
V
ir
tu
a
l
Re
a
li
ty
Co
n
ten
t
Cre
a
ti
o
n
u
si
n
g
Un
it
y
3
D
a
n
d
B
len
d
e
r,
”
In
t
.
J
.
Co
mp
u
t
.
A
p
p
l
.
,
v
o
l.
1
5
6
,
n
o
.
3
,
p
p
.
8
-
1
2
,
2
0
1
6
.
[8
]
E.
ERT
U
Ğ
RU
L
,
Z.
Ba
y
t
a
r,
Ç.
Ç
ATAL
,
a
n
d
Ö.
C.
A
.
N.
M
UR
ATL
I,
“
P
e
rf
o
r
m
a
n
c
e
tu
n
in
g
f
o
r
m
a
c
h
in
e
lea
rn
in
g
-
b
a
se
d
so
f
t
w
a
re
d
e
v
e
lo
p
m
e
n
t
e
ffo
rt
p
re
d
ic
ti
o
n
m
o
d
e
ls,
”
T
u
rk
ish
J
.
El
e
c
tr.
En
g
.
Co
mp
u
t.
S
c
i.
,
v
o
l
.
2
7
,
n
o
.
2
,
p
p
.
1
3
0
8
-
1
3
2
4
,
2
0
1
9
.
[
9
]
V
.
K
.
B
a
l
a
s
u
b
r
a
m
a
n
i
a
n
a
n
d
K
.
M
a
n
a
v
a
l
a
n
,
“
K
n
o
w
l
e
d
g
e
-
b
a
s
e
d
g
e
n
e
t
i
c
a
l
g
o
r
i
t
h
m
a
p
p
r
o
a
c
h
t
o
q
u
a
n
t
i
z
a
t
i
o
n
t
a
b
l
e
g
e
n
e
r
a
t
i
o
n
f
o
r
t
h
e
J
P
E
G
b
a
s
e
l
i
n
e
a
l
g
o
r
i
t
h
m
,
”
T
u
r
k
i
s
h
J
.
E
l
e
c
t
r
.
E
n
g
.
C
o
m
p
u
t
.
S
c
i
.
,
v
o
l
.
2
4
,
n
o
.
3
,
p
p
.
1
6
1
5
-
1
6
3
5
,
2
0
1
6
.
[1
0
]
H.
G
ü
m
ü
şk
a
y
a
a
n
d
B.
Öre
n
c
ik
,
“
A
p
a
ra
ll
e
l
p
ip
e
li
n
e
d
c
o
m
p
u
ter
a
rc
h
it
e
c
tu
re
f
o
r
d
ig
it
a
l
sig
n
a
l
p
ro
c
e
ss
in
g
,
”
T
u
rk
ish
J
.
El
e
c
tr.
En
g
.
C
o
mp
u
t.
S
c
i.
,
v
o
l
.
6
,
n
o
.
2
,
p
p
.
1
0
7
-
1
3
0
,
1
9
9
9
.
[1
1
]
D.
-
M
.
P
o
p
o
v
ici,
C.
-
M
.
Bo
g
d
a
n
,
M
.
P
o
lce
a
n
u
,
a
n
d
R.
Qu
e
rre
c
,
“
Ap
p
ly
in
g
o
f
a
n
o
n
to
lo
g
y
b
a
se
d
m
o
d
e
li
n
g
a
p
p
ro
a
c
h
to
c
u
lt
u
ra
l
h
e
rit
a
g
e
s
y
ste
m
s,”
Ad
v
.
El
e
c
tr.
Co
m
p
u
t.
En
g
.
,
v
o
l.
1
1
,
n
o
.
3
,
p
p
.
1
0
5
-
1
1
0
,
2
0
1
1
.
[1
2
]
R.
Ba
n
sa
l,
G
.
Ra
j,
a
n
d
T
.
Ch
o
u
d
h
u
ry
,
“
Blu
r
im
a
g
e
d
e
tec
ti
o
n
u
s
in
g
L
a
p
lac
ian
o
p
e
ra
to
r
a
n
d
Op
e
n
-
CV,”
in
2
0
1
6
In
ter
n
a
t
io
n
a
l
C
o
n
fer
e
n
c
e
S
y
ste
m M
o
d
e
li
n
g
&
Ad
v
a
n
c
e
me
n
t
i
n
Res
e
a
rc
h
T
re
n
d
s (
S
M
AR
T
)
,
p
p
.
6
3
-
6
7
,
2
0
1
6
.
[1
3
]
H.
T
o
n
g
,
M
.
L
i,
H.
Zh
a
n
g
,
a
n
d
C.
Zh
a
n
g
,
“
Blu
r
d
e
tec
ti
o
n
f
o
r
d
ig
it
a
l
i
m
a
g
e
s
u
sin
g
w
a
v
e
let
tran
s
f
o
r
m
,
”
in
2
0
0
4
IEE
E
in
ter
n
a
ti
o
n
a
l
c
o
n
fer
e
n
c
e
o
n
mu
lt
ime
d
i
a
a
n
d
e
x
p
o
(
ICM
E)
(IE
EE
Ca
t.
No
.
0
4
T
H8
7
6
3
),
v
o
l
.
1
,
p
p
.
1
7
-
2
0
,
2
0
0
4
.
[1
4
]
C.
B.
W
e
b
ste
r
a
n
d
S
.
J.
Re
e
v
e
s,
“
Ra
d
ial
d
e
b
lu
rri
n
g
w
it
h
ff
ts,
”
in
2
0
0
7
IEE
E
I
n
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
Ima
g
e
Pro
c
e
ss
in
g
,
v
o
l
.
1
,
p
p
.
I
-
1
0
1
,
2
0
0
7
.
[1
5
]
D.
A
.
F
ish
,
J
.
G
ro
c
h
m
a
li
c
k
i,
a
n
d
E.
R.
P
ik
e
,
“
S
c
a
n
n
i
n
g
sin
g
u
la
r
-
v
a
lu
e
-
d
e
c
o
m
p
o
siti
o
n
m
e
th
o
d
f
o
r
re
sto
ra
ti
o
n
o
f
im
a
g
e
s
w
it
h
sp
a
c
e
-
v
a
rian
t
b
lu
r
,
”
J
OS
A
A
,
v
o
l
.
1
3
,
n
o
.
3
,
p
p
.
4
6
4
-
4
6
9
,
1
9
9
6
.
[1
6
]
J.
Zh
e
n
g
,
K.
P
.
V
a
lav
a
n
is,
a
n
d
J.
M
.
G
a
u
c
h
,
“
No
ise
re
m
o
v
a
l
f
ro
m
c
o
lo
r
ima
g
e
s,”
J
.
In
tell.
Ro
b
o
t.
S
y
st.
,
v
o
l.
7
,
n
o
.
3
,
p
p
.
2
5
7
-
2
8
5
,
1
9
9
3
.
[1
7
]
J.
F
lu
ss
e
r,
S
.
F
a
r
o
k
h
i,
C
.
Hö
sc
h
l
,
T
.
S
u
k
,
B.
Z
it
o
v
á
,
a
n
d
M
.
P
e
d
o
n
e
,
“
Re
c
o
g
n
it
io
n
o
f
im
a
g
e
s
d
e
g
ra
d
e
d
b
y
G
a
u
ss
ian
b
lu
r,
”
I
EE
E
T
r
a
n
s.
Ima
g
e
Pro
c
e
ss
.
,
v
o
l.
2
5
,
n
o
.
2
,
p
p
.
7
9
0
-
8
0
6
,
2
0
1
5
.
[1
8
]
A
.
K.
S
o
e
a
n
d
X
.
Z
h
a
n
g
,
“
A
si
m
p
le
P
S
F
p
a
ra
m
e
ter
s
e
sti
m
a
ti
o
n
m
e
th
o
d
f
o
r
t
h
e
d
e
-
b
l
u
rri
n
g
o
f
li
n
e
a
r
m
o
ti
o
n
b
l
u
rre
d
im
a
g
e
s
u
sin
g
w
ien
e
r
f
il
ter
in
Op
e
n
CV,”
in
2
0
1
2
I
n
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
S
y
ste
ms
a
n
d
In
f
o
rm
a
ti
c
s
(
ICS
AI2
0
1
2
)
,
p
p
.
1
8
5
5
-
1
8
6
0
,
2
0
1
2
.
[1
9
]
Y.
M
.
W
a
n
g
,
Y.
L
i,
a
n
d
J.
B.
Zh
e
n
g
,
“
A
c
a
m
e
ra
c
a
li
b
ra
ti
o
n
tec
h
n
iq
u
e
b
a
se
d
o
n
Op
e
n
C
V,”
in
T
h
e
3
r
d
In
ter
n
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
In
f
o
rm
a
ti
o
n
S
c
ien
c
e
s a
n
d
I
n
ter
a
c
ti
o
n
S
c
ien
c
e
s
,
p
p
.
4
0
3
-
4
0
6
,
2
0
1
0
.
[2
0
]
P
.
S
h
a
rm
a
,
M
.
Diwa
k
a
r,
a
n
d
S
.
Ch
o
u
d
h
a
ry
,
“
A
p
p
li
c
a
ti
o
n
o
f
e
d
g
e
d
e
tec
ti
o
n
f
o
r
b
ra
in
tu
m
o
r
d
e
t
e
c
ti
o
n
,
”
In
t.
J
.
Co
mp
u
t
.
A
p
p
l
.
,
v
o
l.
5
8
,
n
o
.
1
6
,
2
0
1
2
.
[2
1
]
R.
Ba
u
sy
s,
G
.
Ka
z
a
k
e
v
iciu
te
-
Ja
n
u
sk
e
v
icie
n
e
,
F
.
Ca
v
a
ll
a
ro
,
a
n
d
A
.
Us
o
v
a
it
e
,
“
A
lg
o
rit
h
m
S
e
le
c
ti
o
n
f
o
r
E
d
g
e
De
tec
ti
o
n
in
S
a
telli
te Im
a
g
e
s b
y
Ne
u
tro
so
p
h
ic W
A
S
P
A
S
M
e
th
o
d
,
”
S
u
sta
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