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Linear Regression Correlation Filter: An Application to Face Recognition

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Proceedings of 3rd International Conference on Computer Vision and Image Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1022))

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Abstract

This paper proposes a novel method of designing a correlation filter for frequency domain pattern recognition. The proposed correlation filter is designed with linear regression technique and termed as linear regression correlation filter. The design methodology of linear regression correlation filter is completely different from standard correlation filter design techniques. The proposed linear regression correlation filter is estimated or predicted from a linear subspace of weak classifiers. The proposed filter is evaluated on standard benchmark database and promising results are reported.

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Notes

  1. 1.

    thr: hard threshold selected empirically.

  2. 2.

    http://vision.ucsd.edu/~leekc/ExtYaleDatabase/ExtYaleB.html.

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Authors and Affiliations

  1. Department of Electrical Engineering, Future Institute of Engineering and Management, Kolkata, India

    Tiash Ghosh & Pradipta K. Banerjee

Authors
  1. Tiash Ghosh
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  2. Pradipta K. Banerjee
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Corresponding author

Correspondence to Tiash Ghosh .

Editor information

Editors and Affiliations

  1. Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India

    Bidyut B. Chaudhuri

  2. Department of Advanced Information Technology and Computer Sciences, Tokyo Institute of Agriculture and Technology, Koganei, Tokyo, Japan

    Masaki Nakagawa

  3. Department of Computer Science, Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, Jabalpur, Madhya Pradesh, India

    Pritee Khanna

  4. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Sanjeev Kumar

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Ghosh, T., Banerjee, P.K. (2020). Linear Regression Correlation Filter: An Application to Face Recognition. In: Chaudhuri, B., Nakagawa, M., Khanna, P., Kumar, S. (eds) Proceedings of 3rd International Conference on Computer Vision and Image Processing. Advances in Intelligent Systems and Computing, vol 1022. Springer, Singapore. https://doi.org/10.1007/978-981-32-9088-4_32

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  • DOI: https://doi.org/10.1007/978-981-32-9088-4_32

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9087-7

  • Online ISBN: 978-981-32-9088-4

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