Robust Shape Normalization Based on Implicit Representations

Tingting Jiang 1 Carlo Tomasi 2
1 LEAR - Learning and recognition in vision
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : We introduce a new shape normalization method based on implicit shape representations. The proposed method is robust with respect to deformations and invariant to similarity transformations (translation, isotropic scaling and rotation). The new method has been tested and compared to the classical shape normalization method and previous work in terms of aligning groups of shapes with deformations.
Document type :
Conference papers
Complete list of metadatas

Cited literature [5 references]  Display  Hide  Download

https://hal.inria.fr/inria-00548661
Contributor : Thoth Team <>
Submitted on : Monday, December 20, 2010 - 10:24:55 AM
Last modification on : Tuesday, August 20, 2019 - 5:12:02 PM
Long-term archiving on : Monday, November 5, 2012 - 2:40:29 PM

File

paper.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Tingting Jiang, Carlo Tomasi. Robust Shape Normalization Based on Implicit Representations. ICPR 2008 - IEEE International Conference on Pattern Recognition, Oct 2008, Tampa, United States. pp.1-4, ⟨10.1109/ICPR.2008.4761202⟩. ⟨inria-00548661⟩

Share

Metrics

Record views

578

Files downloads

375