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Proceedings Paper

Axis extraction method of symmetry object under unilateral illumination condition in optical measurement images
Author(s): Shao-wen Ding; Xiao-hui Zhang; Peng-yu Guo; Kun-peng Wang
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Paper Abstract

Measuring the three-dimension (3D) orientation parameters of the axis symmetry objects, such as missile and rocket, plays an important role of optimization design and malfunction analysis of the targets in shooting range experimentations. If the target is clear-cut, there are already many ways to extract the axis precisely, and get the three-dimension orientation parameters by triangulation method. But in practical experimentations, we sometimes face the problem that the target is illuminated by intense sunlight, which with the background of sky will cause the imprecision of axis extraction and the increasing of measurement error. To solve the problem, this paper presents an accurate method to extract the target’s axis. The method build a point set, and try to put all the target’s points into it by using the priori-knowledge, such as the symmetry target’s characteristic under unilateral illumination condition, then calculate the regional minimum inertia axis of the set’s points and get the target’s axis. Experimental results show that this method is efficient and robust to noise, which can meet the requirement of unilaterally illuminated target 3D pose interpretation in shooting range.

Paper Details

Date Published: 21 August 2013
PDF: 8 pages
Proc. SPIE 8908, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Sensors and Applications, 890821 (21 August 2013); doi: 10.1117/12.2034695
Show Author Affiliations
Shao-wen Ding, National Univ. of Defense Technology (China)
Xiao-hui Zhang, National Univ. of Defense Technology (China)
Peng-yu Guo, National Univ. of Defense Technology (China)
Kun-peng Wang, Beijing Institute of Tracking and Telecommunication Technology (China)

Published in SPIE Proceedings Vol. 8908:
International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Sensors and Applications
Jun Ohta; Nanjian Wu; Binqiao Li, Editor(s)

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