Wide Baseline Matching Using Support Vector Regression
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.
Author: Haifeng Xi Haifeng Xi,
Weihua Cui
Journal Code: jptkomputergg130089