NDLI: Face recognition robust to head pose changes based on the RGB-D sensor

Content Provider	IEEE Xplore Digital Library
Author	Ciaccio, C. Lingyun Wen Guodong Guo
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA (Ciaccio, C.; Lingyun Wen; Guodong Guo)
Abstract	Face recognition is still a great challenge in biometrics research, because of the large variations of facial appearance, caused by head pose, lighting, facial expression, aging, etc. Among all possible variations, the biggest change of facial appearance in 2-dimensional (2D) face images probably comes from the three-dimensional (3D) head rotations. With the sensor technology advances, e.g., the recent RGB-D cameras, we study the advantage of using RGB-D images for face recognition, focusing on the challenge of 3D head pose variations. We propose an approach to face recognition robust to head rotations utilizing the RGB-D face images. Unlike the traditional 3D morphable model, our method does not need to learn a generic face model or take a complicated 3D to 2D face registration. We study what is the appropriate scheme to deal with pose variations in order to develop a robust system towards pose-invariant face recognition. Experiments on a public database show that our approach is effective and efficient for face recognition under significant pose changes. Our preliminary result demonstrates the advantages of using the RGB-D sensor for face recognition robust to large pose variations.
Starting Page	1
Ending Page	6
File Size	816528
Page Count	6
File Format	PDF
ISBN	9781479905270
DOI	10.1109/BTAS.2013.6712718
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Solid modeling Three-dimensional displays Face recognition Robustness Face Probes
Content Type	Text
Resource Type	Article

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