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Proceedings Paper

Maximum a-posteriori probability 3-D surface reconstruction using multiple intensity images directly
Author(s): Yi-Ping Hung; David B. Cooper
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Paper Abstract

Reconsiructing 3D surfaces using multiple intensity-images is an important problem in computer vision. Most approaches for this problem require either finding the 2D features correspondence or estimating the optical flow first. The probabilistic model-based approach shown in this paper utilizes the intensity data directly (i.e., no feature extraction) for reconstructing 3D surfaces without first solving the correspondence problem or estimating optical flow explicitly. We model 3D objects as surface patches where each patch is described as a function known up to the values of a few parameters. Surface reconstruction is then treated as the problem of parameter estimation based on two or more images taken by a moving camera. By constructing the likelihood function for the surface parameters and modeling prior knowledge about 3D surfaces with a Markov random field, we are able to compute the maximum posterior probability 3D surface reconstruction based on the observed images. This paper presents some experimental results based on a sequence of intensity images taken by a moving camera. Our approach has the advantages of: (i) directly estimating shape for surface patches, thus making object recognition simpler; (ii) formally incorporating prior knowledge about 3D surfaces; (iii) being highly parallel in required computation, hence promising for real-time operation; (iv) producing optimal accuracy in a probabilistic sense; (v) being algorithmically simple; (vi) being robust with real data.

Paper Details

Date Published: 1 January 1990
PDF: 13 pages
Proc. SPIE 1260, Sensing and Reconstruction of Three-Dimensional Objects and Scenes, (1 January 1990); doi: 10.1117/12.20002
Show Author Affiliations
Yi-Ping Hung, Brown Univ. (Taiwan)
David B. Cooper, Brown Univ. (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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