Template Matching Approach for Pose Problem in Face Verification

  • Anil Kumar Sao
  • B. Yegnanaarayana
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4105)


In this paper we propose a template matching approach to address the pose problem in face verification, which neither synthesizes the face image, nor builds a model of the face image. Template matching is performed using edginess-based representation of face images. The edginess-based representation of face images is computed using one-dimensional (1-D) processing of images. An approach is proposed based on autoassociative neural network (AANN) models to verify the identity of a person using score obtained from template matching.


Face Recognition Face Image Template Match True Class Equal Error Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Anil Kumar Sao
    • 1
  • B. Yegnanaarayana
    • 1
  1. 1.Speech and Vision Laboratory, Department of Computer Science and EngineeringIndian Institute of Technology MadrasChennaiIndia

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