Title
Adaptive Stereo Matching Algorithm Based On Edge Detection
Abstract
it is a difficult problem to choose appropriate image windows in area-based stereo matching algofithin. Most adaptive window algorithms utilize an evaluation function with disparity and intensity to choose the appropriate windows. This paper presents a new adaptive stereo matching algorithm based on edge detection. It chooses the appropriate image window only by the intensity variance and the process has no relation with disparities. This is the main difference between this algorithm and the others. Meanwhile we introduce a new rank transform method into the stereo algorithm. To demonstrate the effectiveness of the algorithm, it has been tested by stereo images with ground truth in Middlebury stereo database. The results show that our algorithm has high correct matching rate. Meanwhile it is robust and has few parameters to be set.
Year
DOI
Venue
2004
10.1109/ICIP.2004.1419748
ICIP: 2004 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1- 5
Keywords
Field
DocType
edge detection,ground truth,evaluation function
Stereo matching,Edge detection,Computer science,Image processing,Artificial intelligence,Computer vision,Pattern recognition,Image matching,Evaluation function,Algorithm,Ground truth,Adaptive algorithm,Computer stereo vision
Conference
ISSN
Citations 
PageRank 
1522-4880
10
0.62
References 
Authors
5
1
Name
Order
Citations
PageRank
Kun Wang17110.25