NDLI: A scheme for reconstructing face from shading using smooth projected polygon representation NN

Content Provider	IEEE Xplore Digital Library
Author	Fanany, M.I. Ohno, M. Kumazawa, I.
Copyright Year	2002
Description	Author affiliation: Dept. of Comput. Sci., Tokyo Inst. of Technol., Japan (Fanany, M.I.; Ohno, M.; Kumazawa, I.)
Abstract	In this paper, we present a neural-network learning scheme for face reconstruction. This scheme, which we called the smooth projected polygon representation neural network (SPPRNN), is able to successively refine the polygon's vertices parameter of an initial 3D shape based on depth-maps of several calibrated images taken from multiple views. The depth-maps, which are obtained by deploying the Tsai-Shah shape-from-shading (SFS) algorithm, can be considered as partial 3D shapes of the face to be reconstructed. The reconstruction is finalized by mapping the texture of face images to the initial 3D shape. There are three interesting issues investigated in this paper concerning the effectiveness of this scheme. First, how effective the SFS provides partial 3D shapes compared to if we simply used 2D images. Secondly, how essential a smooth projected polygonal model is in order to approximate the face structure and enhance the convergence rate of this scheme. Thirdly, how an appropriate initial 3D shape should be selected and used in order to improve model resolution and learning stability. By carefully addressing these three issues, it was shown from our experiment that a compact and realistic 3D model of a human (mannequin) face could be obtained.
Sponsorship	IEEE Signal Process. Soc
File Size	377471
File Format	PDF
ISBN	0780376226
ISSN	15224880
DOI	10.1109/ICIP.2002.1039948
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-09-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Shape Image reconstruction Facial animation Reflectivity Surface reconstruction Face detection Photometry Computer science Information science
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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