Title
Fuzzy Sets Based Improvement of a Stereo Matching Algorithm with Balanced Correlation Window and Occlusion Detection
Abstract
This paper presents an ameliorated version of the Zitnick and Kanade stereo algorithm. The novelties in our algorithm are the use of a balanced correlation window, the use of a new factor in the calculation of initial matching values which expresses the possibility of matching between two pixels and a new iterative function for the refinement of the initial matching values. Experimental results are evaluated on synthetic and real images and a comparison of our results to those of many state-of-the-art methods, using the ground truth data supplied by the University of Tsukuba, is presented.
Year
Venue
Keywords
2010
IPCV
ground truth,fuzzy set
Field
DocType
Citations 
Stereo matching,Computer vision,Occlusion detection,Pattern recognition,Algorithm,Fuzzy set,Ground truth,Correlation,Artificial intelligence,Pixel,Real image,Mathematics
Conference
1
PageRank 
References 
Authors
0.35
15
3
Name
Order
Citations
PageRank
Moncef Tagina16016.33
Haythem Ghazouani243.46
Rene Zapata3585.58