Share Email Print
cover

Proceedings Paper

Monocular vision measurement system for the position and orientation of remote object
Author(s): Tao Zhou; Changku Sun; Shan Chen
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The high-precision measurement method for the position and orientation of remote object, is one of the hot issues in vision inspection, because it is very important in the field of aviation, precision measurement and so on. The position and orientation of the object at a distance of 5 m, can be measured by near infrared monocular vision based on vision measurement principle, using image feature extraction and data optimization. With the existent monocular vision methods and their features analyzed, a new monocular vision method is presented to get the position and orientation of target. In order to reduce the environmental light interference and make greater contrast between the target and background, near infrared light is used as light source. For realizing automatic camera calibration, a new feature-circle-based calibration drone is designed. A set of algorithms for image processing, proved to be efficient, are presented as well. The experiment results show that, the repeatability precision of angles is less than 8"; the repeatability precision of displacement is less than 0.02 mm. This monocular vision measurement method has been already used in wheel alignment system. It will have broader application field.

Paper Details

Date Published: 5 March 2008
PDF: 7 pages
Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 662311 (5 March 2008); doi: 10.1117/12.791428
Show Author Affiliations
Tao Zhou, Tianjin Univ. (China)
Changku Sun, Tianjin Univ. (China)
Shan Chen, Tianjin Univ. (China)


Published in SPIE Proceedings Vol. 6623:
International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing

© SPIE. Terms of Use
Back to Top