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Principles and methods for face recognition and face modelling
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Rawlinson, T., Bhalerao, Abhir and Wang, L. (2010) Principles and methods for face recognition and face modelling. In: Li, Chang-Tsun, (ed.) Handbook of research on computational forensics, digital crime and investigation : methods and solutions. IGI Global, pp. 53-78. ISBN 9781605668369
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Official URL: http://dx.doi.org/10.4018/978-1-60566-836-9.ch003
Abstract
This chapter focuses on the principles behind methods currently used for face recognition, which have a wide variety of uses from biometrics, surveillance and forensics. After a brief description of how faces can be detected in images, we describe 2D feature extraction methods that operate on all the image pixels in the face detected region: Eigenfaces and Fisherfaces first proposed in the early 1990s. Although Eigenfaces can be made to work reasonably well for faces captured in controlled conditions, such as frontal faces under the same illumination, recognition rates are poor. We discuss how greater accuracy can be achieved by extracting features from the boundaries of the faces by using Active Shape Models and, the skin textures, using Active Appearance Models, originally proposed by Cootes and Talyor. The remainder of the chapter on face recognition is dedicated such shape models, their implementation and use and their extension to 3D. We show that if multiple cameras are used the the 3D geometry of the captured faces can be recovered without the use of range scanning or structured light. 3D face models make recognition systems better at dealiing with pose and lighting variation
Item Type: | Book Item | ||||
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Subjects: | H Social Sciences > HV Social pathology. Social and public welfare Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Library of Congress Subject Headings (LCSH): | Human face recognition (Computer science), Biometric identification, Three-dimensional imaging, Digital images, Electronic surveillance, Crime laboratories | ||||
Publisher: | IGI Global | ||||
ISBN: | 9781605668369 | ||||
Book Title: | Handbook of research on computational forensics, digital crime and investigation : methods and solutions | ||||
Editor: | Li, Chang-Tsun | ||||
Official Date: | 2010 | ||||
Dates: |
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Number of Pages: | 26 | ||||
Page Range: | pp. 53-78 | ||||
DOI: | 10.4018/978-1-60566-836-9.ch003 | ||||
Status: | Not Peer Reviewed | ||||
Publication Status: | Published | ||||
Date of first compliant deposit: | 3 March 2016 | ||||
Date of first compliant Open Access: | 15 June 2016 | ||||
Funder: | Great Britain. Royal Commission for the Exhibition of 1851 |
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