DocumentCode :
2583522
Title :
Occlusion detection in early vision
Author :
Toh, Peng-Seng ; Forrest, Andrew K.
Author_Institution :
Centre for Robotics & Autom. Syst., Imperial Coll., London, UK
fYear :
1990
fDate :
4-7 Dec 1990
Firstpage :
126
Lastpage :
132
Abstract :
The authors show that occlusion can be detected by early visual processes derived directly from the image data. Two methods are demonstrated. The first method is based on detecting binocular rivalry during binocular fixation. The feasibility of this technique also supports the hypothesis that stereo fusion and rivalry coexist in human vision. Stereo fusion gives rise to smooth disparity whereas rivalry signals depth discontinuity. The second method uses focal information that results from a change in depth of field. This method does not involve changes of viewpoint and hence avoids the correspondence problem. These two methods together with cues from motion, as has been suggested elsewhere, form robust occlusion detection in early visual processing
Keywords :
computer vision; computerised picture processing; binocular fixation; binocular rivalry; correspondence problem; depth discontinuity; image data; occlusion detection; stereo fusion; Educational institutions; Humans; Interpolation; Layout; Machine vision; Motion detection; Object recognition; Robotics and automation; Robustness; Surface reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 1990. Proceedings, Third International Conference on
Conference_Location :
Osaka
Print_ISBN :
0-8186-2057-9
Type :
conf
DOI :
10.1109/ICCV.1990.139509
Filename :
139509
Link To Document :
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