Study of Feature Points Matching Algorithm in Stereo Vision
Hai‐Yan Xie · Journal of Suzhou College · 2006
The feature points matching algorithm in stereo vision is one of the important tasks in computer vision and a key step to obtain 3D information.The feature points matching algorithm can be divided into two procedures: 1.searching the feature points;2.points matching.After comparing the classical methods of Harris,SUSAN and Phase Congruency Corner detection,we find that it has good performance in presence of noise and stability by phase technique.Then combined with correlation and constraint of epipolar line method,the stereo matching algorithm has a good experimental result which has been shown in this paper.