Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/21767
Appears in Collections:Psychology Journal Articles
Peer Review Status: Refereed
Title: Applications of Face Analysis and Modeling in Media Production
Authors: Cosker, Darren
Eisert, Peter
Grau, Oliver
Hancock, Peter J B
McKinnell, Jonathan
Ong, Eng-Jon
Contact Email: pjbh1@stir.ac.uk
Issue Date: 20-Dec-2012
Publisher: IEEE
Citation: Cosker D, Eisert P, Grau O, Hancock PJB, McKinnell J & Ong E (2012) Applications of Face Analysis and Modeling in Media Production , IEEE Multimedia, 20 (4), pp. 18-27.
Abstract: Facial expressions play an important role in day-by-day communication as well as media production. This article surveys automatic facial analysis and modeling methods using computer vision techniques and their applications for media production. The authors give a brief overview of the psychology of face perception and then describe some of the applications of computer vision and pattern recognition applied to face recognition in media production. This article also covers the automatic generation of face models, which are used in movie and TV productions for special effects in order to manipulate people's faces or combine real actors with computer graphics.
Type: Journal Article
URI: http://hdl.handle.net/1893/21767
DOI Link: http://dx.doi.org/10.1109/MMUL.2012.61
Rights: (c) 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works
Affiliation: University of Bath
Humboldt University Berlin
Intel Visual Computing Institute (Intel VCI)
Psychology
British Broadcasting Corporation (BBC)
University of Surrey

Files in This Item:
File Description SizeFormat 
MU_MM-2012-08-0063 R1_Grau.pdf518.92 kBAdobe PDFView/Open


This item is protected by original copyright



Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.