Paper Info
Title
Cooperative Stereo Matching with Color-Based Adaptive Local Support
Abstract
Color processing imposes a new constraint on stereo vision algorithms: The assumption of constant color on object surfaces used to align local correlation windows with object boundaries has improved the accuracy of recent window based stereo algorithms significantly. While several algorithms have been presented that work with adaptive correlation windows defined by color similarity, only a few approaches use color based grouping to optimize initially computed traditional matching scores. This paper introduces the concept of color-dependent adaptive support weights to the definition of local support areas in cooperative stereo methods to improve the accuracy of depth estimation at object borders.
Year
DOI
Venue
2009
10.1007/978-3-642-03767-2_124
CAIP
Keywords
Field
DocType
stereo vision algorithm,color processing,stereo algorithm,color-dependent adaptive support weight,object boundary,adaptive correlation windows,color similarity,constant color,cooperative stereo matching,cooperative stereo method,color-based adaptive local support,object border,stereo vision
Stereo matching,Stereo cameras,Computer vision,Pattern recognition,Stereopsis,Computer science,Artificial intelligence,Color processing,Computer stereo vision
Conference
Volume
ISSN
Citations 
5702
0302-9743
10
PageRank 
References 
Authors
0.67
12
1
Name
Order
Citations
PageRank
Roland Brockers1779.62