Paper Title:
A Point Matching Method for Stereovision Measurement
  Abstract

Many vision tasks such as 3D measurement, scene reconstruction, object recognition, etc., rely on feature correspondence among images. This paper presents a point matching method for 3D surface measurement. The procedure of the method is as follows: (1) rectification for stereo image pairs; (2) computation of epipolar lines; (3) sequential matching in vertical direction; (4) sequential matching in horizontal direction. The fourth step is performed to deal with the ambiguity in dense areas where points have closer vertical coordinates. In the fourth step a threshold limit of vertical coordinate difference is designed to determine those points potential to cause ambiguity. This method was applied to the 3D surface measurement for an inflatable parabolic reflector with validity of point matching up to 100%. Experiment results show that this method is feasible in application of sparse point matching for continuous surface measurements.

  Info
Periodical
Key Engineering Materials (Volumes 381-382)
Edited by
Wei Gao, Yasuhiro Takaya, Yongsheng Gao and Michael Krystek
Pages
305-308
DOI
10.4028/www.scientific.net/KEM.381-382.305
Citation
N. G. Lu, M. L. Dong, P. Sun, J.W. Guo, "A Point Matching Method for Stereovision Measurement", Key Engineering Materials, Vols. 381-382, pp. 305-308, 2008
Online since
June 2008
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Price
$32.00
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