Extract configuration of three-dimensional object

Yingen Xiong; Dezong Wang; Xin Qiao

doi:10.1117/12.186587

21 September 1994 Extract configuration of three-dimensional object

Yingen Xiong, Dezong Wang, Xin Qiao

Proceedings Volume 2298, Applications of Digital Image Processing XVII; (1994) https://doi.org/10.1117/12.186587
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

In this paper, a new method of extracting the configuration of a three dimensional object is presented. It can be used in computer vision or robot vision. In this method, two or more pictures of a three dimensional object are taken and stereo image pairs are composed of these pictures. The intrinsic and extrinsic parameters of camera are solved using these pictures and then the images of every stereo image pair are matched using a new method presented in this paper. When the coordinates of point on left or right picture in image space are given, the coordinates of corresponding point on right or left picture can be calculated automatically. The coordinates of point on a three dimensional object in object space can be solved using the coordinates of stereo image pair. After this process has finished, all the coordinates of the three dimensional object in object space are obtained. The configuration of the three dimensional object has been extracted. We use this method to extract aircraft configuration. The result is satisfactory. It is expressed through actual application that the method presented in this paper is correct, the result is reliable. It is very useful for computer or robot vision. The method presented in this paper has theoretical and application value.

Citation Download Citation

Yingen Xiong, Dezong Wang, and Xin Qiao "Extract configuration of three-dimensional object", Proc. SPIE 2298, Applications of Digital Image Processing XVII, (21 September 1994); https://doi.org/10.1117/12.186587

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KEYWORDS

Cameras

Distortion

Robot vision

3D image processing

Machine vision

Computer vision technology

3D metrology

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