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3D Face Representation Using Inverse Compositional Image Alignment for Multimodal Face Recognition

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Frontier and Innovation in Future Computing and Communications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 301))

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Abstract

A 3D model based approach for a face representation and recognition algorithm has been investigated as a robust solution for pose and illumination variation compared to 2D face recognition system. However, a 3D model based face recognition system is generally inefficient in computation time and complexity. In this paper, we propose a 3D face representation algorithm to optimize to have the same vertex number. Then, create an average model using processed 3D data. Finally, we evaluate fitting and face recognition performance based on 3D average model.

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Acknowledgments

This work was supported by a research grant from Gyunggi-do (GRRC) in 2013–2014 [(GRRC Hankyong 2012-B02)].

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Sejong University, Seoul, South Korea

    Kanghun Jeong & Hyeonjoon Moon

  2. Department of Electrical, Electronic and Control Engineering, Hankyong National University, Ansung, South Korea

    Sanghoon Kim

Authors
  1. Kanghun Jeong
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  2. Hyeonjoon Moon
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  3. Sanghoon Kim
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Corresponding author

Correspondence to Sanghoon Kim .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul University of Science & and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

  2. School of Information Technologies, University of Sydney, Sydney, New South Wales, Australia

    Albert Zomaya

  3. Humanitas College, Kyung Hee University, Seoul, Korea, Republic of (South Korea)

    Hwa-Young Jeong

  4. Computer Science & Software Engineering, Monmouth University, W. Long Branch, New Jersey, USA

    Mohammad Obaidat

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© 2014 Springer Science+Business Media Dordrecht

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Jeong, K., Moon, H., Kim, S. (2014). 3D Face Representation Using Inverse Compositional Image Alignment for Multimodal Face Recognition. In: Park, J., Zomaya, A., Jeong, HY., Obaidat, M. (eds) Frontier and Innovation in Future Computing and Communications. Lecture Notes in Electrical Engineering, vol 301. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8798-7_51

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  • DOI: https://doi.org/10.1007/978-94-017-8798-7_51

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-8797-0

  • Online ISBN: 978-94-017-8798-7

  • eBook Packages: EngineeringEngineering (R0)

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