Paper Info
Title
Sub-pixel disparity search for binocular stereo vision
Abstract
The idea of cost or similarity volume may date back to Marr and Poggio's cooperative algorithm. One of the challenging difficulties in applying their algorithm to recovering sub-pixel disparity is 1) how to take advantages of the edge location in the images for computing reliable cost between the corresponding sub-pixel coordinates. In addition, it should be noted that 2) accidental correspondences will produce many confusing sub-pixel disparity candidates with small cost. This study proposes a novel method where a reliable subpixel cost volume is computed though the combination of an interpolation method and an edge-preserving filtering method. In order to avoid confusing disparity candidates, the search range of the sub-pixel disparity will be limited according to the initial disparity which can be computed robustly but not so precisely in advance. All the procedures can be implemented in a highly-parallel style, therefore the proposed method seems promising for real-time applications.
Year
Venue
Keywords
2012
Pattern Recognition
edge detection,filtering theory,image matching,interpolation,real-time systems,stereo image processing,binocular stereo vision,cooperative algorithm,edge location,edge-preserving filtering method,highly-parallel style,interpolation method,real-time applications,reliable cost computing,reliable subpixel cost volume,similarity volume,subpixel coordinates,subpixel cost volume reliability,subpixel disparity recovery,subpixel disparity search
Field
DocType
ISSN
Binocular stereo,Computer vision,Pattern recognition,Image matching,Edge detection,Computer science,Interpolation,Filter (signal processing),Artificial intelligence,Pixel,Subpixel rendering,Filtering theory
Conference
1051-4651
ISBN
Citations 
PageRank 
978-1-4673-2216-4
3
0.41
References 
Authors
0
4
Name
Order
Citations
PageRank
Mizukami, Y.130.41
Okada, K.230.41
Atsushi Nomura3417.61
Nakanishi, S.430.41