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3D Face Acquisition, Modelling and Recognition

Cook, Jamie A., Baker, Jason, Chandran, Vinod, & Sridharan, Sridha (2004) 3D Face Acquisition, Modelling and Recognition. In Workshop on Internet, Transmission and Signal Processing, Dec, 2004, Adelaide.

Abstract

This paper presents a novel integrated 3D face verification system. The system comprises of a Structured Light Scanner acquisition stage, with 3D surface fitting and filtering. A-priori information of the human face is utilised to select and extract a region of interest from the face surface, whilst the Iterative Closest Point (ICP) algorithm is employed to establish correspondence between test and target and to compensate for the non-rigid nature of the surfaces. The verification process uses a Euclidean distance classifier across combinations of features extracted from the surfaces and results from a database of 21 subjects are presented.

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221 since deposited on 04 Jun 2007
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ID Code: 7943
Item Type: Conference Paper
Keywords: 3D, Face Recognition, ICP, SLS
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Computer-Human Interaction (080602)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Deposited On: 04 Jun 2007
Last Modified: 29 Feb 2012 23:05

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