Fast stereo matching method using edge traction

Authors:
Zheng-dong Liu;Ying-nan Zhao;Jing-yu Yang
Affiliations:
Department of Computer Science, Nanjing University of Science and Technology, Nanjing, P.R. China;Department of Computer Science, Nanjing University of Science and Technology, Nanjing, P.R. China;Department of Computer Science, Nanjing University of Science and Technology, Nanjing, P.R. China
Venue:
Intelligent information processing II
Year:
2004

Citing 3
Cited 0

A Stereo Matching Algorithm with an Adaptive Window: Theory and Experiment

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Cooperative Algorithm for Stereo Matching and Occlusion Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Stereo matching and occlusion detection with integrity and illusion sensitivity

Pattern Recognition Letters

Quantified Score

Hi-index	0.00

Visualization

Abstract

Combining the reliable edge feature points and area similarity, the fast stereo matching algorithm using edge traction was presented. First, find valid disparity set of feature points and traverse combinations of adjacent points' disparities, obtain the valid disparity set of featureless points using dynamic program, then, generate the initial sparse disparity space using area similarity. The algorithm reduces the computation complexity of disparity space and decreases the possibility of mismatching illusion. Under the uniqueness constraint, integral dense disparity map and occlusion area can be obtained by collision detection. Experiment on real visual images is performed to verify the feasibility and effectiveness of this algorithm.