Acquisition of face depth information from near infrared images

被引：0

作者：

Zheng, Ying ^{[1
]}

Li, Stan Z. ^{[2
]}

Chang, Jianglong ^{[1
]}

Wang, Zengfu ^{[1
]}

机构：

[1] Univ Sci & Technol China, Dept Automat, Anhua, Peoples R China

[2] Chinese Acad Sci, Inst Automat, Beijing 100864, Peoples R China

来源：

2007 INTERNATIONAL CONFERENCE ON INFORMATION ACQUISITION, VOLS 1 AND 2 | 2007年

关键词：

depth map; near infrared images; face alignment; image warp; 3D face reconstruction;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a method for acquiring face depth information directly from near infrared (NIR) images, using statistical learning. To perform such learning, ground truth NIR images and range data are captured. A method of alignment between the two image modalities is proposed. By constructing the low dimensional face subspaces of NIR images and depth maps, the raw data are projected into respective subspaces. The mapping between the two subspaces is learned. The experiment substantiates the accuracy of the depth recovered and the economy of time and memory consumed.

引用

页码：615 / +

页数：2

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