Wide Baseline Matching Using Support Vector Regression
Telecommunication Computing Electronics and Control
Abstract
In this paper, we newly solve wide baseline matching using support vector regression (SVR). High correct ratio initial matches are used to train SVR relationships, obtained by matching large-scale SIFT features and discarding some mismatches by our improved topological filtering scheme; and new matches are searched near the prediction given by trained SVR relationships. Both indoor and outdoor environments image pairs under wide baseline condition are tested, experiment results show that our algorithm automatically gain large numbers of accurate point correspondences.
Discover Our Library
Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.
Explore Now