Profile-based 3D-aided face recognition

doi:10.1016/j.patcog.2011.07.010

2012-01-01

PRE

Shishir K. Shah

Ioannis A. Kakadiaris *

DOI：10.1016/j.patcog.2011.07.010

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摘要

En 中文

This paper presents a framework for automatic face recognition based on a silhouetted face profile (URxD-PV). Previous research has demonstrated the high discriminative potential of this biometric. Compared to traditional approaches in profile-based recognition, our approach is not limited to only standard side-view faces. We propose to explore the feature space of profiles under various rotations with the aid of a 3D face model. In the enrollment mode, 3D data of subjects are acquired and used to create profiles under different rotations. The features extracted from these profiles are used to train a classifier. In the identification mode, the profile is extracted from the side-view image and its metadata is matched with the gallery metadata. We validate the accuracy of URxD-PV using data from publicly available databases. (C) 2011 Elsevier Ltd. All rights reserved.

Keyword:

Profile-based face recognition

Facial data

Multi-frame recognition

Multi-modal vision

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对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Pattern Recognition

IF:

7.6

论文数:

1.3W

被引数:

4.5W

机构

university of houston system

学者数:

1.4W

论文数: 1.4W

被引数: 16

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