DocumentCode :
2205836
Title :
Detecting binocular half-occlusions: empirical comparisons of four approaches
Author :
Egnal, Geoffrey ; Wildes, Richard P.
Author_Institution :
GRASP Lab., Pennsylvania Univ., Philadelphia, PA, USA
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
466
Abstract :
Binocular half-occlusion points are those that are visible in one of the two views provided by a binocular imaging system. Due to their importance in binocular matching as well as subsequent interpretation tasks, a number of approaches have been developed for dealing with such points. In the current paper, we consider four methods that explicitly detect half-occlusions and report on a more uniform comparison than has previously been performed. Taking a disparity image and its associated match goodness image as input, we generate images that show the half-occluded points in the underlying scene. We quantitatively and qualitatively compare these methods under a variety of conditions
Keywords :
computational geometry; computer vision; binocular half-occlusions detection; binocular imaging system; binocular matching; half-occluded points; Computer vision; Electrical capacitance tomography; Geometry; Humans; Image generation; Image segmentation; Laboratories; Layout; Optical imaging; Stereo vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
Conference_Location :
Hilton Head Island, SC
ISSN :
1063-6919
Print_ISBN :
0-7695-0662-3
Type :
conf
DOI :
10.1109/CVPR.2000.854883
Filename :
854883
Link To Document :
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