A novel adaptive support window based stereo matching algorithm for 3D reconstruction from 2D images

2011 ◽  
Author(s):  
Jargalsaikhan Iveel ◽  
Sumam David
Keyword(s):  
3D Reconstruction ◽  
Stereo Matching ◽  
Matching Algorithm ◽  
Adaptive Support ◽  
2D Images

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

A fast stereo matching algorithm for 3D reconstruction of internal organs in laparoscopic surgery

2008 ◽  
Author(s):  
Yoshimichi Okada ◽  
Takeshi Koishi ◽  
Suguru Ushiki ◽  
Toshiya Nakaguchi ◽  
Norimichi Tsumura ◽  
...  
Keyword(s):  
Laparoscopic Surgery ◽  
3D Reconstruction ◽  
Stereo Matching ◽  
Internal Organs ◽  
Matching Algorithm

A New Method on Super Pixel Reducing Stereo Matching Time of Integrated Imaging

2020 ◽  
pp. 2154014
Author(s):  
Xue-Guang Wang ◽  
Ming Li ◽  
Lei Zhang ◽  
Hui Zhao ◽  
Thelma D. Palaoag
Keyword(s):  
3D Reconstruction ◽  
Conventional Method ◽  
Stereo Vision ◽  
Stereo Matching ◽  
Technical Difficulty ◽  
New Method ◽  
Matching Algorithm ◽  
The Core ◽  
Pixel Matching ◽  
Novel Method

Stereo vision and 3D reconstruction technologies are increasingly concerned in many fields. Stereo matching algorithm is the core of stereo vision and also a technical difficulty. A novel method based on super pixels is mentioned in this paper to reduce the calculating amount and the time. Stereo images from University of Tsukuba are used to test our method. The proposed method spends only 1% of the time spent by the conventional method. Through a two-step super-pixel matching optimization, it takes 6.72 s to match a picture, which is 12.96% of the pre-optimization.

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

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.

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