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Proceedings Paper

Uncalibrated 3D vision computation based on knowledge of objects
Author(s): Bin Kong; Ting-Jian Fang
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Paper Abstract

Traditional methods of stereovision computing need two or more images of the target obtained from precalibrated binocular or multiple cameras. But in real applications, the internal and external parameters of camera may change from time to time. So recently, uncalibration methods of stereovision computing gain more and more attention. The subject ofthis paper is 3D vision computation with uricalibrated cameras. Consider that in many robotic and industrial applications, the environment is structural and the knowledge about operation targets is known. This prompt us a possible solution of avoiding camera calibration. The proposed method in this paper can determine the position/pose of an object with some known geometry and measurements only from a single image even when the focus length is unknown. In this paper, the computation formulas for both binocular and monocular systems are derived with illustrations. Then the experimental examples are given, and analysis on the result data and errors is also presented. Experiments show that the computation is very simple and the result can be very accurate. Another advantage is that it can be used in monocular systems. The proposed method can be widely used in practical applications, provided the required features can be precisely obtained.

Paper Details

Date Published: 31 July 2002
PDF: 8 pages
Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); doi: 10.1117/12.477087
Show Author Affiliations
Bin Kong, Hefei Institute of Intelligent Machines and Univ. of Science and Technology of China (China)
Ting-Jian Fang, Hefei Institute of Intelligent Machines (China)


Published in SPIE Proceedings Vol. 4875:
Second International Conference on Image and Graphics
Wei Sui, Editor(s)

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