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Proceedings Paper

Image-based multiresolution shape recovery by surface deformation
Author(s): Li Zhang; Steven M. Seitz
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Paper Abstract

This paper presents a novel approach for constructing multiresolution surface models from a set of calibrated images. The output is a texture-mapped triangular surface mesh that best matches all the input images. The mesh is obtained by deforming a generic initial mesh such as a sphere or cube according to image and geometry-based forces. This technique has the following key features: (1) the initial mesh is able to converge to the object surface from arbitrarily far away, (2) the resolution of the final mesh adapts to the local complexity of the object, (3) sharp corners and edges of object surface are preserved in the final mesh, (4) occlusion is correctly modeled during convergence, (5) re-projection error of the final mesh is optimized, and (6) the output is ideally suited for rendering by existing graphics hardware. The approach is shown is shown to yield good results on real image sequences.

Paper Details

Date Published: 22 December 2000
PDF: 11 pages
Proc. SPIE 4309, Videometrics and Optical Methods for 3D Shape Measurement, (22 December 2000); doi: 10.1117/12.410896
Show Author Affiliations
Li Zhang, Univ. of Washington (United States)
Steven M. Seitz, Univ. of Washington (United States)

Published in SPIE Proceedings Vol. 4309:
Videometrics and Optical Methods for 3D Shape Measurement
Sabry F. El-Hakim; Armin Gruen, Editor(s)

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