Lighting Analysis and Texture Modification of 3D Human Face Scans

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Title Lighting Analysis and Texture Modification of 3D Human Face Scans
Author Zhang, Paul; Zhao, Sanqiang; Gao, Yongsheng
Publication Title Digital Image Computing Techniques and Applications
Editor Murk Bottema (General Chair)
Year Published 2007
Publisher IEEE
Abstract The 3D scanning of human faces is an important tool to acquire accurate shape and texture information of heads and faces for both animation and recognition purposes. One of the most popular scanning tools is Cyberware head and face 3D colour scanner. Currently, 3D face databases scanned using the Cyberware head and face 3D colour scanner databases are public available and have been used in many face recognition system as the training data, one of which is USF human ID 3-D database. The mechanism of facial texture capturing, however, remains unclear due to the special settings of the light sources during scanning. The direct application of the acquired texture intensity as the albedo of the face surfaces leads to suboptimal modelling results. This paper analyses the lighting configuration of the scanner and proposes an appropriate reflectance model to describe the reflecting mechanism when scanning. The texture modifications can be carried on in the existing scanning results without any further scans. Experiment results show that the proposed reflectance model can better approximate the reflecting situation of scanning so that the acquired textures can be directly used as diffuse reflectance coefficients and achieve better rendering results.
Peer Reviewed Yes
Published Yes
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Copyright Statement Copyright 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ISBN 0769530672
Conference name Australian Conference on Digital Image Computing: Techniques and Applications (DICTA)
Location Adelaide
Date From 2007-12-03
Date To 2007-12-05
Date Accessioned 2007-10-16
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Computer Vision
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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