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Template Matching Approach for Pose Problem in Face Verification

  • Conference paper
Multimedia Content Representation, Classification and Security (MRCS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4105))

Abstract

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.

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Authors and Affiliations

  1. Speech and Vision Laboratory, Department of Computer Science and Engineering, Indian Institute of Technology Madras, Chennai, 600036, India

    Anil Kumar Sao & B. Yegnanaarayana

Authors
  1. Anil Kumar Sao
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  2. B. Yegnanaarayana
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Editor information

Editors and Affiliations

  1. Multimedia Signal Processing and Pattern Recognition Lab., Dept. of Electronics and Communications Eng., Istanbul Technical University, 34469, Istanbul, Turkey

    Bilge Gunsel

  2. Department of Computer Science and Engineering, Michigan State University,  

    Anil K. Jain

  3. College of Engineering, Koç University, 34450, Sarıyer, İstanbul, Turkey

    A. Murat Tekalp

  4. Department of Electrical and Electronics Engineering, Boğaziçi University, Istanbul, Turkey

    Bülent Sankur

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© 2006 Springer-Verlag Berlin Heidelberg

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Sao, A.K., Yegnanaarayana, B. (2006). Template Matching Approach for Pose Problem in Face Verification. In: Gunsel, B., Jain, A.K., Tekalp, A.M., Sankur, B. (eds) Multimedia Content Representation, Classification and Security. MRCS 2006. Lecture Notes in Computer Science, vol 4105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11848035_27

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  • DOI: https://doi.org/10.1007/11848035_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-39392-4

  • Online ISBN: 978-3-540-39393-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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