Presentation 2007-03-15
A Segment-based Stereovision by Analyzing Occlusion : Estimation of surface gradient by merging segments
Tetsuya IWAKI, Naoki MUKAWA, Yoshihiko KUBOTA,
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Abstract(in English) In stereovision algorisms, occlusion is a serious problem for matching corresponding pixels. This paper proposes a novel segment-based stereo matching algorithm that solves the occlusion problem. The algorithm first extracts occluded region from divided segments, then performs correspondence matching between left and right segments compensating t evaluated estimates for the occluded region. Furthermore, a surface gradient of segments are also estimated by merging adjacent segment depth infomation and finally dense depth map is estimated. The proposed method is implemented and evaluated. The experimental results show that the depth of occluded regions is estimated correctly.
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Keyword(in English) Stereovision / Segmentation / Surface Gradient / Search correspondence
Paper # PRMU2006-254
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Committee PRMU
Conference Date 2007/3/8(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Segment-based Stereovision by Analyzing Occlusion : Estimation of surface gradient by merging segments
Sub Title (in English)
Keyword(1) Stereovision
Keyword(2) Segmentation
Keyword(3) Surface Gradient
Keyword(4) Search correspondence
1st Author's Name Tetsuya IWAKI
1st Author's Affiliation Graduate School of Information Environment Engineering, Tokyo Denki University:Graduate School of Advanced Science and technology, Tokyo Denki University()
2nd Author's Name Naoki MUKAWA
2nd Author's Affiliation School of Information Environment Tokyo Denki University
3rd Author's Name Yoshihiko KUBOTA
3rd Author's Affiliation Graduate School of Information Environment Engineering, Tokyo Denki University:Graduate School of Advanced Science and technology, Tokyo Denki University
Date 2007-03-15
Paper # PRMU2006-254
Volume (vol) vol.106
Number (no) 605
Page pp.pp.-
#Pages 6
Date of Issue