Object matching using deformable templates
Jain, A.K.
Yu Zhong
Lakshmanan, S.
Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Mar 1996
Volume: 18,
Issue: 3
On page(s): 267-278
ISSN: 0162-8828
References Cited: 35
CODEN: ITPIDJ
INSPEC Accession Number: 5234462
Digital Object Identifier: 10.1109/34.485555
Current Version Published: 2002-08-06
Abstract
We propose a general object localization and retrieval scheme
based on object shape using deformable templates. Prior knowledge of an
object shape is described by a prototype template which consists of the
representative contour/edges, and a set of probabilistic deformation
transformations on the template. A Bayesian scheme, which is based on
this prior knowledge and the edge information in the input image, is
employed to find a match between the deformed template and objects in
the image. Computational efficiency is achieved via a coarse-to-fine
implementation of the matching algorithm. Our method has been applied to
retrieve objects with a variety of shapes from images with complex
background. The proposed scheme is invariant to location, rotation, and
moderate scale changes of the template
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