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Proceedings Paper

3D face recognition by projection-based methods
Author(s): Helin Dutagaci; Bülent Sankur; Yücel Yemez
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Paper Abstract

In this paper, we investigate recognition performances of various projection-based features applied on registered 3D scans of faces. Some features are data driven, such as ICA-based features or NNMF-based features. Other features are obtained using DFT or DCT-based schemes. We apply the feature extraction techniques to three different representations of registered faces, namely, 3D point clouds, 2D depth images and 3D voxel. We consider both global and local features. Global features are extracted from the whole face data, whereas local features are computed over the blocks partitioned from 2D depth images. The block-based local features are fused both at feature level and at decision level. The resulting feature vectors are matched using Linear Discriminant Analysis. Experiments using different combinations of representation types and feature vectors are conducted on the 3D-RMA dataset.

Paper Details

Date Published: 15 February 2006
PDF: 11 pages
Proc. SPIE 6072, Security, Steganography, and Watermarking of Multimedia Contents VIII, 60720I (15 February 2006); doi: 10.1117/12.643089
Show Author Affiliations
Helin Dutagaci, Bogaziçi Univ. (Turkey)
Bülent Sankur, Bogaziçi Univ. (Turkey)
Yücel Yemez, Koç Univ. (Turkey)


Published in SPIE Proceedings Vol. 6072:
Security, Steganography, and Watermarking of Multimedia Contents VIII
Edward J. Delp III; Ping Wah Wong, Editor(s)

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