3-D face recognition using local appearance-based models


Ekenel H. K. , GAO H., STIEFELHAGEN R.

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, vol.2, no.3, pp.630-636, 2007 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 2 Issue: 3
  • Publication Date: 2007
  • Doi Number: 10.1109/tifs.2007.902924
  • Title of Journal : IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
  • Page Numbers: pp.630-636

Abstract

In this paper, we present a local appearance-based approach for 3-D face recognition. In the proposed algorithm, we first register the 3-1) 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.