A MULTI-STEP ALIGNMENT SCHEME FOR FACE RECOGNITION IN RANGE IMAGES

被引：1

作者：

Stoermer, Andre ^{[1
]}

Rigoll, Gerhard ^{[1
]}

机构：

[1] Tech Univ Munich, Inst Human Machine Commun, D-80333 Munich, Germany

来源：

2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5 | 2008年

关键词：

Face Recognition; Statistic modeling;

D O I：

10.1109/ICIP.2008.4712363

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Face Recognition in range images is a challenging task, especially if the pose of the shown face is unknown. To solve this, an alignment procedure consisting of facial feature hypotheses extraction by invariant curvature features, PCA-based classification and Iterative Closest Point alignment will be introduced to create aligned and normalized patches. These patches will then be used in a recognition algorithm, a discrete Pseudo 2-Dimensional Hidden Markov Model approach based on vector quantized DCTmod2 features. The results of this processing chain are discussed and compared to previous works.

引用

页码：2748 / 2751

页数：4

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