Control points-constrained and area-related stereo matching algorithm
Jing Ke · Journal of Shandong University of Technology · 2008
The stereo matching is a key problem of computer vision.In order to obtain dense disparity map with precise matching,a new control points-constrained and area-related stereo matching algorithm was proposed by combining the feature-based approach and area-based process method.First,corner was detected by Harris corner detecting algorithms.Then,matched the corner and obtained precise matching points that were control points.At last,matched the no-corner by area-related process method and under the constraint of control points.In this way,a dense disparity map was obtained.The method not only reduces the search difficulty but also ensures the validity of matching.