HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation

A Novel Method for Alignment of 3D Models

Mohamed Chaouch 1, * Anne Verroust-Blondet 1
* Corresponding author
Abstract : 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 PCA techniques 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.
Complete list of metadata

Cited literature [23 references]  Display  Hide  Download

Contributor : Anne Verroust-Blondet Connect in order to contact the contributor
Submitted on : Friday, January 11, 2008 - 4:20:42 PM
Last modification on : Thursday, February 3, 2022 - 11:14:04 AM
Long-term archiving on: : Friday, September 24, 2010 - 11:06:50 AM


Files produced by the author(s)


  • HAL Id : inria-00203336, version 4



Mohamed Chaouch, Anne Verroust-Blondet. A Novel Method for Alignment of 3D Models. [Research Report] RR-6408, INRIA. 2008, pp.22. ⟨inria-00203336v4⟩



Record views


Files downloads