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Nasal Region-Based 3D Face Recognition under Pose and Expression Variations

  • Hamdi Dibeklioğlu
  • Berk Gökberk
  • Lale Akarun
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5558)

Abstract

In this work, we propose a fully automatic pose and expression invariant part-based 3D face recognition system. The proposed system is based on pose correction and curvature-based nose segmentation. Since the nose is the most stable part of the face, it is largely invariant under expressions. For this reason, we have concentrated on locating the nose tip and segmenting the nose. Furthermore, the nose direction is utilized to correct pose variations. We try both one-to-all and Average Nose Model-based methodologies for registration. Our results show that the utilization of anatomically-cropped nose region increases the recognition accuracy up to 94.10 per cent for frontal facial expressions and 79.41 per cent for pose variations in the Bosphorus 2D/3D face database.

Keywords

Facial Expression Face Recognition Facial Surface Minimum Energy Path High Recognition Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Hamdi Dibeklioğlu
    • 1
  • Berk Gökberk
    • 2
  • Lale Akarun
    • 1
  1. 1.Computer Engineering DepartmentBoğaziçi UniversityTurkey
  2. 2.Department of Electrical EngineeringUniversity of TwenteThe Netherlands

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