3-D face recognition using local appearance-based models

Hazým Kemal Ekenel, Gao Hua, Rainer Stiefelhagen

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we present a local appearance-based approach for 3-D face recognition. In the proposed algorithm, we first register the 3-D point clouds to provide a dense correspondence between faces. Afterwards, we analyze two mapping techniques-the closest-point mapping and the ray-casting mapping, to construct depth images from the corresponding well-registered point clouds. The depth images that are obtained are then divided into local regions where the discrete cosine transformation is performed to extract local information. The local features are combined at the feature level for classification. Experimental results on the FRGC version 2.0 face database show that the proposed algorithm performs superior to the well-known face recognition algorithms.

Original languageEnglish (US)
Pages (from-to)630-636
Number of pages7
JournalIEEE Transactions on Information Forensics and Security
Volume2
Issue number3
DOIs
StatePublished - Sep 2007

Keywords

  • 3-D face recognition
  • Automatic registration
  • Depth image
  • Local appearance face recognition

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

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