A Trinocular Stereo-Matching Algorithm Based on Adaptive Support-Weight for Mobile Service Robot

2012 ◽  
Vol 490-495 ◽  
pp. 1733-1737
Author(s):  
Wu Xin Huang
Keyword(s):  
Stereo Matching ◽  
Life Support ◽  
Vision System ◽  
Selection Method ◽  
Service Robot ◽  
Mobile Service ◽  
Matching Algorithm ◽  
Support Weight ◽  
Adaptive Support ◽  
Trinocular Stereo

A trinocular stereo-matching algorithm based on adaptive support-weight and disparity adjustment has been proposed to improve the accuracy of trinocular vision. Adaptive support-weight which is an efficient window selection method in binocular stereo is applied in the trinocular stereo. A robust target image selection method is also proposed for using the information of different target images in trinocular stereo-vision system efficiently. So occlusion can be handled well by this means. The vision system is tested in the project Family Life Support Multi-Robot Systems.

scholarly journals Stereo matching algorithm based on illumination normal similarity and adaptive support weight

2013 ◽  
Vol 52 (2) ◽  
pp. 027201 ◽  
Author(s):  
Kai Gao ◽  
He-xin Chen ◽  
Yan Zhao ◽  
Ying-nan Geng ◽  
Gang Wang
Keyword(s):  
Stereo Matching ◽  
Matching Algorithm ◽  
Support Weight ◽  
Adaptive Support

Adaptive Support Weight Stereo Matching Algorithm Based on Human Visual Characteristics

2018 ◽  
Vol 55 (3) ◽  
pp. 031013
Author(s):  
刘雪松 Liu Xuesong ◽  
沈建新 Shen Jianxin ◽  
张燕平 Zhang Yanping
Keyword(s):  
Stereo Matching ◽  
Matching Algorithm ◽  
Support Weight ◽  
Adaptive Support ◽  
Visual Characteristics ◽  
Human Visual Characteristics

A Novel Adaptive Support-Weight Stereo Matching Algorithm

2014 ◽  
Vol 2 (4) ◽  
pp. 152-155
Author(s):  
Jinlong Zhou ◽  
Xuelong Hu ◽  
Liankui Hao ◽  
Chunxiao Li
Keyword(s):  
Stereo Matching ◽  
Matching Algorithm ◽  
Support Weight ◽  
Adaptive Support

Stereo Matching Algorithm Based on the Inter Color Correlation and Adaptive Support Weight

2014 ◽  
Vol 41 (8) ◽  
pp. 0812001
Author(s):  
龚文彪 Gong Wenbiao ◽  
顾国华 Gu Guohua ◽  
钱惟贤 Qian Weixian ◽  
任建乐 Ren Jianle
Keyword(s):  
Stereo Matching ◽  
Matching Algorithm ◽  
Support Weight ◽  
Adaptive Support

Fast Adaptive Support-Weight Stereo Matching Algorithm

2017 ◽  
Vol 23 (3) ◽  
pp. 295-300 ◽  
Author(s):  
Kai He ◽  
Yunfeng Ge ◽  
Rui Zhen ◽  
Jiaxing Yan
Keyword(s):  
Stereo Matching ◽  
Matching Algorithm ◽  
Support Weight ◽  
Adaptive Support

Stereo Matching Algorithm Based on Image Segmentation and Adaptive Support Weight

2015 ◽  
Vol 35 (s2) ◽  
pp. s210002
Author(s):  
龚文彪 Gong Wenbiao ◽  
顾国华 Gu Guohua ◽  
钱惟贤 Qian Weixian ◽  
路东明 Lu Dongming ◽  
吕芳 Lv Fang
Keyword(s):  
Image Segmentation ◽  
Stereo Matching ◽  
Matching Algorithm ◽  
Support Weight ◽  
Adaptive Support

A Global Stereo Matching Algorithm Based on Adaptive Support-Weight and Graph Cut

2012 ◽  
Vol 151 ◽  
pp. 612-616 ◽  
Author(s):  
Guo He Yu ◽  
Jian Ming Liu ◽  
Xu Sheng Xie ◽  
Ji Guo Zeng
Keyword(s):  
Energy Function ◽  
Stereo Matching ◽  
Graph Cut ◽  
Experimental Results ◽  
Matching Problem ◽  
Matching Algorithm ◽  
Support Weight ◽  
Depth Discontinuity ◽  
Matching Error ◽  
Adaptive Support

For the stereo matching problem in the non-texture, occluded and depth discontinuity regions, a new stereo matching algorithm that based on the adaptive support-weight of Graph Cuts is proposed. It can reduce the matching error in the depth discontinuity and non-texture regions by the single adaptive support-weight matching methods. The occlusion and smoothness penalty is considered by building the energy function. The experimental results show that the proposed algorithm can achieve more precise and reliability matching.

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