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Stereo matching algorithm based on binocular vision

2020 7th International Forum on Electrical Engineering and Automation (IFEEA), 2020
Binocular stereo vision technology has been widely used in target detection, unmanned driving and other aspects due to its advantages of low cost and wide range of application. It is a research hotspot in the field of computer vision. Binocular stereo vision is mainly to obtain 3D depth information of the scene by analyzing two or more views of the ...
Yuanfa Ji   +4 more
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Binocular stereo vision based on OpenCV

IET International Conference on Smart and Sustainable City (ICSSC 2011), 2011
Stereo vision is one of the important branches in computer vision research. Among the techniques of stereo vision, people have paid more attention to binocular stereo vision which is based on processing two images. It directly simulates the manner of human eyes observing one scene from two different viewpoints.
null Ke Lu   +3 more
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Binocular stereo vision based indoor scene perception

2011 3rd International Conference on Computer Research and Development, 2011
Scene perception aims to build a semantic context for various tasks of visual processing, especially for object recognition. Binocular vision system is now widely equipped with mobile intelligent robots,however, monocular images are currently mostly used for scene perception task.
null Hong Liu   +2 more
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Target Detection Based on Binocular Stereo Vision

2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC), 2017
This paper mainly studies the target detection algorithm based on binocular camera. In this paper, the binocular RGB camera is used to detect the foreground of the human body in the indoor scene. Firstly, the right and left images are corrected by the binocular calibration.
Xiaopeng Cui   +3 more
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A Fast Binocular Vision Stereo Matching Algorithm

Applied Mechanics and Materials, 2014
In this paper we present a fast indoor stereo matching algorithm based on canny edge detection and line moments. We first detect image edge by using Canny operator, then find the target objects according line moments, the feature points of the objects’ contours are extracted.
Hui Zhang, Ling Tao Zhang, Yi Ren
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A New Binocular Vision Stereo Matching Algorithm

Applied Mechanics and Materials, 2013
With the shortcomings of the large data amount and long time consuming in the conventional binocular vision stereo matching algorithm, a new fast stereo matching algorithm is presented in this paper. It is fast computed based on the line moments and angle vector .Firstly, the method detects image edge using canny operator, and finds the target objects ...
Hui Zhang, Ling Tao Zhang, Li Wang
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CNN state equations for binocular stereo vision

Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94), 2002
This paper describes CNN (cellular neural network) state equations to perform direct dynamic halftoning and dynamic depth extraction for binocular stereo visual information. The quantization for the funneling information is done by parallel neurons without the use of multiple bit analog-to-digital converters, and, the correspondence problem can be ...
M. Tanaka, M. Awata, M. Kanaya
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Spatial Point Reconstruction Based on Binocular Stereo Vision

Advanced Materials Research, 2014
Binocular stereo vision is an important branch of robot vision technology, it use two cameras in different position or a camera which can be move or rotate to shoot the same scene images, by calculating the parallax of spatial point in two images, get the spatial location information.
Jie Yu   +3 more
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Combing structured light measurement technology with binocular stereo vision

2017 IEEE 2nd International Conference on Opto-Electronic Information Processing (ICOIP), 2017
3D measurement technology is one of the important research fields in computer vision. 3D measurement based on binocular stereo vision is a typical measurement technique. In this paper, the structured light technology is combined with binocular stereo technology.
Qi Zhou, YongMing Yang, ZhenZhou Wang
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