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Active Shape Models -Part II: Image Search and Classification Rafeef Abu-Gharbieh, Ghassan Hamarneh and Tomas Gustavsson
 

Summary: Review
Active Shape Models - Part II: Image Search and Classification
Rafeef Abu-Gharbieh, Ghassan Hamarneh and Tomas Gustavsson
Department of Signals and Systems, Imaging and Image Analysis Group
Chalmers University of Technology, Göteborg, Sweden.
Abstract
In this paper we review and investigate a method
capable of modeling the different appearance of objects
in images that is due to natural shape variations,
varying lighting conditions, 3D pose and others. Objects
are represented by well-defined landmark points and
shape variations are modeled using a principal
component analysis. Also, gray level variations are
being modeled. The first part of the paper describes the
shape and gray scale modeling in some detail. The
second part describes an iterative algorithm which
deforms an initial model to fit data in ways that are
consistent with shape variations found in previously
acquired training data. An application to image
classification is outlined.

  

Source: Abugharbieh, Rafeef - Department of Electrical and Computer Engineering, University of British Columbia
Hamarneh, Ghassan - School of Computing Science, Simon Fraser University

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences