Document Detail

Removing Shape-Preserving Transformations in Square-Root Elastic (SRE) Framework for Shape Analysis of Curves.
MedLine Citation:
PMID:  21738385     Owner:  NLM     Status:  Publisher    
This paper illustrates and extends an efficient framework, called the square-root-elastic (SRE) framework, for studying shapes of closed curves, that was first introduced in [2]. This framework combines the strengths of two important ideas - elastic shape metric and path-straightening methods - for finding geodesics in shape spaces of curves. The elastic metric allows for optimal matching of features between curves while path-straightening ensures that the algorithm results in geodesic paths. This paper extends this framework by removing two important shape preserving transformations: rotations and re-parameterizations, by forming quotient spaces and constructing geodesics on these quotient spaces. These ideas are demonstrated using experiments involving 2D and 3D curves.
Shantanu H Joshi; Eric Klassen; Anuj Srivastava; Ian Jermyn
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Publication Detail:
Journal Detail:
Title:  Proceedings / CVPR, IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society Conference on Computer Vision and Pattern Recognition     Volume:  4679     ISSN:  1063-6919     ISO Abbreviation:  -     Publication Date:  2007  
Date Detail:
Created Date:  2011-7-8     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101492446     Medline TA:  Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit     Country:  -    
Other Details:
Languages:  ENG     Pagination:  387-398     Citation Subset:  -    
Dept. of Electrical Engineering, Florida State University, Tallahassee, FL 32310, USA.
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Grant Support
U54 RR021813-01//NCRR NIH HHS

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