Paper
7 May 2003 Robust global motion estimation from coarsely sampled motion vector fields
Author Affiliations +
Proceedings Volume 5022, Image and Video Communications and Processing 2003; (2003) https://doi.org/10.1117/12.476437
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
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.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yeping Su, Ming-Ting Sun, and Vincent Hsu "Robust global motion estimation from coarsely sampled motion vector fields", Proc. SPIE 5022, Image and Video Communications and Processing 2003, (7 May 2003); https://doi.org/10.1117/12.476437
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CITATIONS
Cited by 1 scholarly publication and 7 patents.
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KEYWORDS
Motion estimation

Motion models

Error analysis

Signal to noise ratio

Statistical analysis

Computer simulations

Quantization

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