FOVEA: a foveated vergent active stereo vision system for dynamic three-dimensional scene recovery

1998 ◽  
Vol 14 (5) ◽  
pp. 755-770 ◽  
Author(s):  
W.N. Klarquist ◽  
A.C. Bovik
Keyword(s):  
Stereo Vision ◽  
Vision System ◽  
Three Dimensional ◽  
Stereo Vision System ◽  
Active Stereo ◽  
Scene Recovery

1P1-C15 Registering and searching objects by using the active stereo vision system with both of wide vision and high visual acuity

2009 ◽  
Vol 2009 (0) ◽  
pp. _1P1-C15_1-_1P1-C15_3
Author(s):  
Shota SHIRAYAMA ◽  
Ryusuke UEKI ◽  
Mitsuharu KOJIMA ◽  
Yoshinao SODEYAMA ◽  
Kei OKADA ◽  
...  
Keyword(s):  
Visual Acuity ◽  
Stereo Vision ◽  
Vision System ◽  
Stereo Vision System ◽  
Active Stereo

1P1-C14 Implementation of the active stereo vision system with both of wide vision and high visual acuity for care system

2009 ◽  
Vol 2009 (0) ◽  
pp. _1P1-C14_1-_1P1-C14_4
Author(s):  
Shota SHIRAYAMA ◽  
Ryusuke UEKI ◽  
Mitsuharu KOJIMA ◽  
Yoshinao SODEYAMA ◽  
Kei OKADA ◽  
...  
Keyword(s):  
Visual Acuity ◽  
Stereo Vision ◽  
Vision System ◽  
Stereo Vision System ◽  
Active Stereo ◽  
Care System

scholarly journals Three-dimensional mechanical parts reconstruction technology based on two-dimensional image

2020 ◽  
Vol 17 (2) ◽  
pp. 172988142091000
Author(s):  
Jiaofei Huo ◽  
Xiaomo Yu
Keyword(s):  
Image Processing ◽  
Stereo Vision ◽  
Stereo Matching ◽  
Vision System ◽  
Three Dimensional ◽  
Three Dimensional Reconstruction ◽  
Stereo Vision System ◽  
Binocular Stereo Vision ◽  
Extraction Algorithm ◽  
Dimensional Reconstruction

With the development of computer technology and three-dimensional reconstruction technology, three-dimensional reconstruction based on visual images has become one of the research hotspots in computer graphics. Three-dimensional reconstruction based on visual image can be divided into three-dimensional reconstruction based on single photo and video. As an indirect three-dimensional modeling technology, this method is widely used in the fields of film and television production, cultural relics restoration, mechanical manufacturing, and medical health. This article studies and designs a stereo vision system based on two-dimensional image modeling technology. The system can be divided into image processing, camera calibration, stereo matching, three-dimensional point reconstruction, and model reconstruction. In the part of image processing, common image processing methods, feature point extraction algorithm, and edge extraction algorithm are studied. On this basis, interactive local corner extraction algorithm and interactive local edge detection algorithm are proposed. It is found that the Harris algorithm can effectively remove the features of less information and easy to generate clustering phenomenon. At the same time, the method of limit constraints is used to match the feature points extracted from the image. This method has high matching accuracy and short time. The experimental research has achieved good matching results. Using the platform of binocular stereo vision system, each step in the process of three-dimensional reconstruction has achieved high accuracy, thus achieving the three-dimensional reconstruction of the target object. Finally, based on the research of three-dimensional reconstruction of mechanical parts and the designed binocular stereo vision system platform, the experimental results of edge detection, camera calibration, stereo matching, and three-dimensional model reconstruction in the process of three-dimensional reconstruction are obtained, and the full text is summarized, analyzed, and prospected.

Single-camera active stereo vision system using fiber bundles

2014 ◽  
Vol 12 (10) ◽  
pp. 101301-101304
Author(s):  
Yexin Wang Yexin Wang ◽  
Fuqiang Zhou Fuqiang Zhou ◽  
Yi Cui Yi Cui
Keyword(s):  
Stereo Vision ◽  
Vision System ◽  
Fiber Bundles ◽  
Single Camera ◽  
Stereo Vision System ◽  
Active Stereo
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