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Proceedings Paper

Toward shape from image motion
Author(s): Niels da Vitoria Lobo
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Paper Abstract

Much research effort has been expended on attempting to calculate a description of the structure of an arbitrary environment from the information present in the image motion obtained by an observer in this environment. Most techniques use the image velocity from across somewhat large regions of the image to compute the parameters of 3-dimensional motion and the shape parameters of the viewed objects. The calculations generally require many image velocity measurements as input, a requirement that is often impractical. Thus, it is interesting to examine what can be achieved even when only a few such measurements are used. In this paper, we first show that given image velocity measurements at two positions in the image, it is possible to cancel out the rotation component of motion. Then, we use this to show that measurements from three positions, when combined with advance knowledge of just the direction of the motion's translation component, yield information about the shape of the environment. This result holds for arbitrary instantaneous motion between an observer and surfaces in the environment, and also permits qualitative judgements that could be used as end results in themselves if richer descriptions of shape were unnecessary.

Paper Details

Date Published: 1 January 1990
PDF: 8 pages
Proc. SPIE 1260, Sensing and Reconstruction of Three-Dimensional Objects and Scenes, (1 January 1990); doi: 10.1117/12.20004
Show Author Affiliations
Niels da Vitoria Lobo, Univ. of Toronto (United States)

Published in SPIE Proceedings Vol. 1260:
Sensing and Reconstruction of Three-Dimensional Objects and Scenes
Bernd Girod, Editor(s)

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