NDLI: Representation and detection of deformable shapes

Content Provider	IEEE Xplore Digital Library
Author	Felzenszwalb, P.F.
Copyright Year	2003
Description	Author affiliation: Artificial Intelligence Lab., Massachusetts Inst. of Technol., Cambridge, MA, USA (Felzenszwalb, P.F.)
Abstract	We present a method for detecting deformable shapes in images. The main difficulty with deformable template models is the very large (or infinite) number of possible nonrigid transformations of the templates. This makes the problem of finding an optimal match of a deformable template to an image incredibly hard. Using a new representation for deformable shapes we show how to efficiently find a global optimal solution to the nonrigid matching problem. Our matching algorithm can minimize a large class of energy functions, making it applicable to a wide range of problems. We present experimental results of detecting shapes in medical and natural images. Because we do not rely on local search techniques, our method is very robust, yielding good matches even in images with high clutter.
Sponsorship	IEEE Comput. Soc Tech. Committee on Pattern Anal. & Machine Intelligence (TCPAMI)
File Size	373192
File Format	PDF
ISBN	0769519008
ISSN	10636919
DOI	10.1109/CVPR.2003.1211343
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-06-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Deformable models Dynamic programming Biomedical imaging Robustness Cost function Heuristic algorithms Artificial intelligence Laboratories Optimal matching
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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