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Proceedings Paper

Robust estimation of FOE (focus of expansion) from unreliable motion flows
Author(s): Mun-Sup Song; Man-Bae Kim
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Paper Abstract

We present a recursive estimation technique for recovering FOE from unreliable motion or optical flow. The estimation of FOE is of importance to the analysis of camera motion, especially in the case that the camera motion is purely translational. Our work is based on the observation that there is strong dependence between FOE estimation and motion flows. Therefore, as the FOE depends on the motion flow, a good motion flow can be obtained from accurate FOE. We assume that the camera motion is purely translational and there is no object motion in the scene. The technique used for the elimination of unreliable motion flow is orthogonal regression method. We combine FOE estimation with the elimination algorithm of unreliable motion flows. Experiments using both simulation and real scenes show that our proposed method works robustly under the condition that the percentage of outliers is varying.

Paper Details

Date Published: 9 January 1998
PDF: 7 pages
Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); doi: 10.1117/12.298359
Show Author Affiliations
Mun-Sup Song, Samsung Advanced Institute of Technology (South Korea)
Man-Bae Kim, Samsung Advanced Institute of Technology (South Korea)


Published in SPIE Proceedings Vol. 3309:
Visual Communications and Image Processing '98
Sarah A. Rajala; Majid Rabbani, Editor(s)

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