3D-aided profile-based face recognition

B. A. Efraty, D. Chu, E. Ismailov, S. Shah, I. A. Kakadiaris

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


The silhouette of the face profile is a well-known biometric that is already in use in Face Recognition research. One of the challenges for successful employment of this biometric is the sensitivity of its geometry to face rotation. In this paper, we introduce a new method that improves robustness to rotation. We achieve this by exploring the feature space of profiles under various rotations with the aid of a 3D face model. Based on fiducial points on the profile silhouette, we extract a set of rotation-, translation- and scale-invariant features which are used to design and train a hierarchical poseidentity classifier. In our experiments the classifier is used for the identification of a driver using his/her side-view image. We present our results on a publicly available database.

Original languageEnglish (US)
Title of host publication2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Print)9781424456543
StatePublished - 2009
Event2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt
Duration: Nov 7 2009Nov 10 2009

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880


Conference2009 IEEE International Conference on Image Processing, ICIP 2009


  • 3D
  • Facial data
  • Profile-based face recognition

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing


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