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A Comparative Study on Multi-view Discriminant Analysis and Source Domain Dictionary Based Face Recognition

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Information Systems Design and Intelligent Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 433))

Abstract

Human face images captured in real world scenarios using surveillance cameras won’t always contain single view, instead they usually contain multi-view. Recognizing multi-view faces is still a challenging task. Multi-view Discriminant Analysis (MDA) and Source Domain Dictionary (SSD) are two techniques which we have developed and analyzed in this paper to recognize faces across multi-view. In MDA the faces collected from various views are reflected to a discriminant general space by making use of transforms of those views. SSD on the other hand is based on sparse representation, which efficiently makes the dictionary model of source data. It also signifies each class of data discriminatively. Both the developed techniques are validated on CMU-Multi PIE face database which contains 337 people recorded under 15 different view positions and 19 different conditions.

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Acknowledgments

The proposed work was made possible because of the grant provided by Vision Group Science and Technology (VGST), Department of Information Technology, Biotechnology and Science and Technology, Government of Karnataka, Grant No. VGST/SMYSR/GRD-402/2014-15 and the support provided by Department of Electronics & Communication Engineering, Karunya University, Coimbatore, Tamil Nadu, India and Sahyadri College of Engineering and Management, Mangalore, Karnataka, India.

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Authors and Affiliations

  1. Department of Electronics & Communication Engineering, Karunya University, Coimbatore, India

    Steven Lawrence Fernandes & G. Josemin Bala

Authors
  1. Steven Lawrence Fernandes
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  2. G. Josemin Bala
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Corresponding author

Correspondence to Steven Lawrence Fernandes .

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Editors and Affiliations

  1. Deparment of CSE, Anil Neerukonda Ins. of Tech. & Sci., Vishakapatnam, India

    Suresh Chandra Satapathy

  2. Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

  3. University of Hyderabad, Hyderabad, Andhra Pradesh, India

    Siba K. Udgata

  4. Dept. of ECE, Shri Ramswaroop Mem. Group of Prof. Clg, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

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Fernandes, S.L., Josemin Bala, G. (2016). A Comparative Study on Multi-view Discriminant Analysis and Source Domain Dictionary Based Face Recognition. In: Satapathy, S., Mandal, J., Udgata, S., Bhateja, V. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 433. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2755-7_35

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  • DOI: https://doi.org/10.1007/978-81-322-2755-7_35

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2753-3

  • Online ISBN: 978-81-322-2755-7

  • eBook Packages: EngineeringEngineering (R0)

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