A Hierarchical Non-Parametric Method for Capturing Non-Rigid Deformations

CC
CRV
2005
The 2nd Canadian Conference on Computer and Robot Vision (CRV'05)
Abstract - A Hierarchical Non-Parametric Method for Capturing Non-Rigid Deformations

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The 2nd Canadian Conference on Computer and Robot Vision (CRV'05)

The University of Victoria, Victoria, British Columbia, Canada

May 09-May 11

ISBN: 0-7695-2319-6

	ASCII Text	x
	Ady Ecker, Shimon Ullman, "A Hierarchical Non-Parametric Method for Capturing Non-Rigid Deformations," Computer and Robot Vision, Canadian Conference, pp. 50-56, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 2005.

	BibTex	x
	@article{ 10.1109/CRV.2005.6, author = {Ady Ecker and Shimon Ullman}, title = {A Hierarchical Non-Parametric Method for Capturing Non-Rigid Deformations}, journal ={Computer and Robot Vision, Canadian Conference}, volume = {0}, year = {2005}, isbn = {0-7695-2319-6}, pages = {50-56}, doi = {http://doi.ieeecomputersociety.org/10.1109/CRV.2005.6}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer and Robot Vision, Canadian Conference TI - A Hierarchical Non-Parametric Method for Capturing Non-Rigid Deformations SN - 0-7695-2319-6 SP50 EP56 A1 - Ady Ecker, A1 - Shimon Ullman, PY - 2005 KW - null VL - 0 JA - Computer and Robot Vision, Canadian Conference ER -

Ady Ecker, University of Toronto

Shimon Ullman, Weizmann Institute of Science

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CRV.2005.6

We present a novel approach for measuring deformations between image patches. Our algorithm is a variant of dynamic programming that is not inherently one-dimensional, and its scores are on a relative scale. The method is based on the combination of similarities between many overlapping sub-patches. The algorithm is designed to be robust to small deformations of parts at various positions and scales.

Citation:

Ady Ecker, Shimon Ullman, "A Hierarchical Non-Parametric Method for Capturing Non-Rigid Deformations," crv, pp.50-56, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 2005

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