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The Research for the Binocular Stereo Matching Based on the Computer Vision

Author: PeiCong
Tutor: DaiLiLing
School: Jiangsu University
Course: Mechanical Design and Theory
Keywords: Binocular stereo vision Camera Calibration Sift operator Feature Extraction Stereo matching Three-dimensional reconstruction
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 556
Quote: 5
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Abstract


Stereo vision technology is a classic research topic in the field of computer vision , target it as realistic as possible to imitate human binocular vision function . Called binocular stereo vision , from two different angles to observe the same scene , the perceived image to get different perspectives , the position deviation ( parallax ) between the image pixels , and then get the scenery through the imaging geometry principles 3D information . Determine the risk of the target as a three-dimensional visual field of the hot spots , especially in the EOD robot , automatic obstacle avoidance unmanned vehicles , satellite target recognition and other fields , the study of the subject can solve a lot of substantive issues . Therefore , it further study , it would be very meaningful . The realization of the binocular stereo matching techniques can be divided into image acquisition , camera calibration , feature extraction , stereo matching and three-dimensional reconstruction of several parts . The paper carried out in-depth research of several key technologies for binocular stereo vision . ( 1 ) in the calibration of camera parameters , using a range of methods between traditional calibration methods and self-calibration method - Zhang Zhengyou plane calibration template - based camera calibration method ( Zhang's calibration method) by manual methods and Harris the corner detection Gets template feature points of the image coordinates , and then through the experimental and calculated to obtain the parameters of the camera . (2) looking for a same target points in the two images , the imaging position in the stereo matching , matching characteristics selected, the determination of the matching criteria , the matching algorithm to achieve three important steps in the stereo matching . Sift Operator - based feature point extraction and matching algorithms in the stereo matching method based on feature , the subject to be programmed, and space dot data obtained through experiments . Based sub ??Sift Operator MSift operator , and thus experimental validation by the original operator Sift comparison , expected results , and through MSift count sub under the program to get the image coordinates of a match point . (3) According to the calculation method of the basic principle of the stereoscopic and three-dimensional coordinates , there is completed a three-dimensional coordinate calculation, the distance information of the feature point and the laser sensor ranging comparison to obtain an error , and the reasons for the error analysis , the last generated according to the measurement structure contour depth map. Paper application Matlab, C programming algorithm based experiments .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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