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Proceedings Paper

Binocular stereo matching method based on structure tensor
Author(s): Xiaowei Song; Manyi Yang; Yubo Fan; Lei Yang
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Paper Abstract

In a binocular visual system, to recover the three-dimensional information of the object, the most important step is to acquire matching points. Structure tensor is the vector representation of each point in its local neighborhood. Therefore, structure tensor performs well in region detection of local structure, and it is very suitable for detecting specific graphics such as pedestrians, cars and road signs in the image. In this paper, the structure tensor is combined with the luminance information to form the extended structure tensor. The directional derivatives of luminance in x and y directions are calculated, so that the local structure of the image is more prominent. Meanwhile, the Euclidean distance between the eigenvectors of key points is used as the similarity determination metric of key points in the two images. By matching, the coordinates of the matching points in the detected target are precisely acquired. In this paper, experiments were performed on the captured left and right images. After the binocular calibration, image matching was done to acquire the matching points, and then the target depth was calculated according to these matching points. By comparison, it is proved that the structure tensor can accurately acquire the matching points in binocular stereo matching.

Paper Details

Date Published: 31 October 2016
PDF: 7 pages
Proc. SPIE 10020, Optoelectronic Imaging and Multimedia Technology IV, 100201B (31 October 2016); doi: 10.1117/12.2246470
Show Author Affiliations
Xiaowei Song, Zhongyuan Univ. of Technology (China)
Manyi Yang, Zhongyuan Univ. of Technology (China)
Yubo Fan, Xi'an Jiaotong Univ. (China)
Lei Yang, Zhongyuan Univ. of Technology (China)

Published in SPIE Proceedings Vol. 10020:
Optoelectronic Imaging and Multimedia Technology IV
Qionghai Dai; Tsutomu Shimura, Editor(s)

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