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2008
IEEE

A novel method for alignment of 3D models

8 years 9 months ago
A novel method for alignment of 3D models
In this paper we present a new method for alignment of 3D models. This approach is based on symmetry properties, and uses the fact that the principal components analysis (PCA) have good properties with respect to the planar reflective symmetry. The fast search of the best optimal alignment axes within the PCA-eigenvectors is an essential first step in our alignment process. The plane reflection symmetry is used as a criterion for selection. This pre-processing transforms the alignment problem into an indexing scheme based on the number of the retained PCA-axes. We also introduce a local translational invariance cost (LTIC) that captures a measure of the local translational symmetries of a shape with respect to a given direction. Experimental results show that the proposed method finds the rotation that best aligns a 3D mesh.
Mohamed Chaouch, Anne Verroust-Blondet
Added 01 Jun 2010
Updated 01 Jun 2010
Type Conference
Year 2008
Where SMI
Authors Mohamed Chaouch, Anne Verroust-Blondet
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