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3-D face recognition using local appearance-based models

delete2007-09-01
delete12
PRE
AI
H
Hazım Kemal Ekenel *
H
Hua Gao
R
Rainer Stiefelhagen
DOI：10.1109/TIFS.2007.902924delete
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Abstract

Abstract

En 中文
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.
Keywords:
automatic registration
depth image
local appearance face recognition
3-D face recognition
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Journal

IEEE Transactions on Information Forensics and Security cover
IEEE Transactions on Information Forensics and Security
IF:
8
Papers:
5.2K
Citations:
2.3W

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