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Proceedings Paper

Robust global motion estimation from coarsely sampled motion vector fields
Author(s): Yeping Su; Ming-Ting Sun; Vincent Hsu
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Paper Abstract

Global motion estimation is a powerful tool used in computer vision and video processing. In this paper, we propose an efficient approach of estimating general global motion parameters from coarsely sampled motion vector fields. The approach is based on gradient descent with outlier rejection. Experimental results show the effectiveness of the method in terms of robustness and accuracy.

Paper Details

Date Published: 7 May 2003
PDF: 4 pages
Proc. SPIE 5022, Image and Video Communications and Processing 2003, (7 May 2003); doi: 10.1117/12.476437
Show Author Affiliations
Yeping Su, Univ. of Washington (United States)
Ming-Ting Sun, Univ. of Washington (United States)
Vincent Hsu, Industrial Technology Research Institute (Taiwan)

Published in SPIE Proceedings Vol. 5022:
Image and Video Communications and Processing 2003
Bhaskaran Vasudev; T. Russell Hsing; Andrew G. Tescher; Touradj Ebrahimi, Editor(s)

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