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International Conference on Multi-disciplinary Trends in Artificial Intelligence

MIWAI 2019: Multi-disciplinary Trends in Artificial Intelligence pp 168–180Cite as

Cross-Domain Face Recognition Using Dictionary Learning

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11909))

Abstract

Cross-domain face recognition refers to the matching of face images between different domains. It has many applications in night time surveillance, border security surveillance and law-enforcement. However, this is a difficult task because of the non-linear intensity pixel values between the images which occur due to the domain gap. Recently, dictionary learning methods such as coupled dictionary learning and domain adaptive dictionary learning methods are used to solve this problem. In this paper, we propose a dictionary learning based method to learn the common subspace in order to reduce the gap between domains. Initially, we separate the domain specific representation and identity related representation by using commonality and particularity dictionary learning. In the next step, we remove the domain specific representation and get the common subspace. Thereafter, in order to get the more discriminate representation, we use metric learning. The proposed method is tested on RGB-D-T data set and the experimental results show that the proposed method is performing better even when there is no person common between training and testing sets.

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Acknowledgements

This work has been supported by Ministry of Electronics & Information Technology (MeitY), Government of India under the project Visvesvaraya PhD Scheme, which is implemented by Digital India Corporation (formerly Media Lab Asia).

The authors would also like to acknowledge the funding support from DST PURSE-II, Government of India for the high performance computing facility.

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Authors and Affiliations

  1. School of Computer and Information Sciences, University of Hyderabad, Hyderabad, India

    Yaswanth Gavini & Arun Agarwal

  2. Centre of Excellence in Cyber Security, Institute for Development and Research in Banking Technology, Hyderabad, India

    B. M. Mehtre

Authors
  1. Yaswanth Gavini
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  2. Arun Agarwal
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  3. B. M. Mehtre
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Corresponding author

Correspondence to Yaswanth Gavini .

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Editors and Affiliations

  1. Mahasarakham University, Maha Sarakham, Thailand

    Rapeeporn Chamchong

  2. Murdoch University, Murdoch, WA, Australia

    Kok Wai Wong

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Gavini, Y., Agarwal, A., Mehtre, B.M. (2019). Cross-Domain Face Recognition Using Dictionary Learning. In: Chamchong, R., Wong, K. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2019. Lecture Notes in Computer Science(), vol 11909. Springer, Cham. https://doi.org/10.1007/978-3-030-33709-4_15

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  • DOI: https://doi.org/10.1007/978-3-030-33709-4_15

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  • Print ISBN: 978-3-030-33708-7

  • Online ISBN: 978-3-030-33709-4

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