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- W1983617756 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.© (1998) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only." @default.
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- W1983617756 date "1998-01-09" @default.
- W1983617756 modified "2023-09-23" @default.
- W1983617756 title "<title>Reconstruction of 3D affine and Euclidean mesh models from video</title>" @default.
- W1983617756 doi "https://doi.org/10.1117/12.298394" @default.
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