3D face recognition

被引：0

作者：

Dutagaci, Helin ^{[1
]}

Sankur, Bulent ^{[1
]}

Yemez, Yucel ^{[1
]}

机构：

[1] Bogazici Univ, Elekt Elektron Muhendisligi Bolumu, Istanbul, Turkey

来源：

2006 IEEE 14TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS, VOLS 1 AND 2 | 2006年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we compare face recognition performances of various features applied on registered 3D scans of faces. The features we compare are DFT or DCT-based features, ICA-based features and NNMF-based features. We apply the feature extraction techniques to three different representations of registered faces: 3D point clouds, 2D depth images and 3D voxel representations. We also consider block-based DFT or DCT-based local features on 2D depth images and their fusion schemes. Experiments using different. combinations of representation types and feature vectors are conducted on the 3D-RMA dataset.

引用

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页码：786 / +

页数：2

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