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Proceedings Paper

Reconstruction of 3D affine and Euclidean mesh models from video
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Paper Abstract

3D mesh modeling offers several advantages over 2D mesh modeling for object-based video manipulation including digital postprocessing and editing. This paper proposes a new method for automatic reconstruction of 3D affine and Euclidean mesh representations of objects from video sequences. Our approach is to first design a 2D mesh by selecting node points from a set of salient points followed by constrained Delaunay triangulation. Next, an improved 2D mesh tracking scheme is proposed that estimates motion vectors at the node points by global motion estimation followed by a local refinement scheme. A 3D mesh is then reconstructed by estimating the depth at these node points in an affine space using computer vision techniques. A Euclidean reconstruction is also computed by imposing additional constraints. Experimental results are provided to demonstrate the accuracy of the reconstructions.

Paper Details

Date Published: 9 January 1998
PDF: 11 pages
Proc. SPIE 3309, Visual Communications and Image Processing '98, (9 January 1998); doi: 10.1117/12.298394
Show Author Affiliations
Zhaohui Sun, Univ. of Rochester (United States)
A. Murat Tekalp, Univ. of Rochester (United States)


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

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