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Proceedings Paper

Research on imaging ranging algorithm base on constraint matching of trinocular vision
Author(s): Pan Ye; Li Li; Wei-Qi Jin; Yu-tong Jiang
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Paper Abstract

Binocular stereo vision is a common passive ranging method, which directly simulates the approach of human visual. It can flexibly measure the stereo information in a complex condition. However there is a problem that binocular vision ranging accuracy is not high , one of the reasons is the low precision of the stereo image pairs matching . In this paper, based on trinocular vision imaging ranging algorithm of constraint matching, we use trinocular visual ranging system which is composed of three parallel placed cameras to image and achieve distance measurement of the target. we use calibration method of Zhang to calibrate the cameras, firstly, the three cameras are calibrated respectively, then using the results to get three groups binocular calibration. Thereby the relative position information of each camera are obtained. The using of the information obtained by the third camera can reduce ambiguity of corresponding points matching in a Binocular camera system. limiting search space by the epipolar constraint and improve the matching speed, filtering the distance information , eliminate interference information which brings by the feature points on the prospect and background to obtain a more accurate distance result of target. Experimental results show that, this method can overcome the limitations of binocular vision ranging , effectively improving the range accuracy.

Paper Details

Date Published: 24 November 2014
PDF: 7 pages
Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93011T (24 November 2014); doi: 10.1117/12.2072386
Show Author Affiliations
Pan Ye, Beijing Institute of Technology (China)
Li Li, Beijing Institute of Technology (China)
Wei-Qi Jin, Beijing Institute of Technology (China)
Science and Technology on Low-light-level Night Vision Lab. (China)
Yu-tong Jiang, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 9301:
International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition
Gaurav Sharma; Fugen Zhou; Jennifer Liu, Editor(s)

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