CASIA OpenIR  > 模式识别国家重点实验室  > 生物识别与安全技术研究
3D MODELING OF FACES FROM NEAR INFRARED IMAGES USING STATISTICAL LEARNING
Zheng, Ying1; Li, Stan Z.2; Chang, Jianglong3; Wang, Zengfu3
Source PublicationINTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
2010-02-01
Volume24Issue:1Pages:55-71
SubtypeArticle
AbstractThis paper proposes a statistical learning based method for 3D modeling of faces directly from Near Infrared (NIR) images. We use a specially designed camera system with active NIR illumination to capture the NIR images of faces. The NIR images captured in such a way are invariant to environmental lighting changes. The property provides more reasonable data sources for statistical learning. By using the NIR images and the depth images of some known faces, we can observe a mapping relation between the two image modalities. The mapping relation can then be used to recover depth data of an unknown face from his NIR image. To perform the learning, the images of different modalities taken from different persons are elaborately aligned to make pixel-to-pixel correspondences between images. Based on these aligned images, two face spaces corresponding to NIR and depth face images can be constructed, respectively. We then use a PCA based or kernel based scheme to perform the learning between spaces of large dimensions. Several regression algorithms with linear and nonlinear kernels are employed and evaluated to find the mapping that best describes the relation between the two face spaces. The experimental results show that the method presented in this paper is effective. It can reconstruct 3D face model directly from NIR image of a face with high accuracy and low computational costs.
Keyword3d Face Modeling Statistical Learning Near Infrared Image (Nir)
WOS HeadingsScience & Technology ; Technology
WOS KeywordRECOGNITION ; SHAPE ; RECONSTRUCTION
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000275469700004
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9718
Collection模式识别国家重点实验室_生物识别与安全技术研究
Affiliation1.Univ Sci & Technol China, Dept Automat, Hefei 230027, Anhui, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing 100086, Peoples R China
3.Univ Sci & Technol China, Dept Automat, Hefei 230027, Anhui, Peoples R China
Recommended Citation
GB/T 7714
Zheng, Ying,Li, Stan Z.,Chang, Jianglong,et al. 3D MODELING OF FACES FROM NEAR INFRARED IMAGES USING STATISTICAL LEARNING[J]. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,2010,24(1):55-71.
APA Zheng, Ying,Li, Stan Z.,Chang, Jianglong,&Wang, Zengfu.(2010).3D MODELING OF FACES FROM NEAR INFRARED IMAGES USING STATISTICAL LEARNING.INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE,24(1),55-71.
MLA Zheng, Ying,et al."3D MODELING OF FACES FROM NEAR INFRARED IMAGES USING STATISTICAL LEARNING".INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 24.1(2010):55-71.
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