Automatic face recognition for film character retrieval in feature-length films Arandjelovic, Ognjen and Zisserman, A 2005, Automatic face recognition for film character retrieval in feature-length films, in CVPR 2005 : Proceedings of the Computer Vision and Pattern Recognition Conference 2005, IEEE, Piscataway, New Jersey, pp. 860-867, doi: 10.1109/CVPR.2005.81. Attached Files Name Description MIMEType Size Downloads arandjelovic-automaticface-2005.pdf Published version application/pdf 939.27KB 506 Title Automatic face recognition for film character retrieval in feature-length films Author(s) Arandjelovic, Ognjen Zisserman, A Conference name Computer Vision and Pattern Recognition Conference (2005 : San Diego, California) Conference location San Diego, California Conference dates 20-25 June 2005 Title of proceedings CVPR 2005 : Proceedings of the Computer Vision and Pattern Recognition Conference 2005 Editor(s) [Unknown] Publication date 2005 Conference series Computer Vision and Pattern Recognition Conference Start page 860 End page 867 Total pages 8 Publisher IEEE Place of publication Piscataway, New Jersey Keyword(s) image analysis image processing image quality motion pictures optimization feature length films recognition method Summary The objective of this work is to recognize all the frontal faces of a character in the closed world of a movie or situation comedy, given a small number of query faces. This is challenging because faces in a feature-length film are relatively uncontrolled with a wide variability of scale, pose, illumination, and expressions, and also may be partially occluded. We develop a recognition method based on a cascade of processing steps that normalize for the effects of the changing imaging environment. In particular there are three areas of novelty: (i) we suppress the background surrounding the face, enabling the maximum area of the face to be retained for recognition rather than a subset; (ii) we include a pose refinement step to optimize the registration between the test image and face exemplar; and (iii) we use robust distance to a sub-space to allow for partial occlusion and expression change. The method is applied and evaluated on several feature length films. It is demonstrated that high recall rates (over 92%) can be achieved whilst maintaining good precision (over 93%). ISBN 0769523722 Language eng DOI 10.1109/CVPR.2005.81 Field of Research 080104 Computer Vision 080106 Image Processing 080109 Pattern Recognition and Data Mining Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture) HERDC Research category E1.1 Full written paper - refereed Copyright notice ©2005, IEEE Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30058433 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment Centre for Pattern Recognition and Data Analytics (PRADA) Open Access Collection Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Tue, 26 Nov 2013, 12:52:49 EST Tue, 26 Nov 2013, 13:22:56 EST Wed, 27 Nov 2013, 15:23:02 EST Mon, 03 Feb 2014, 10:50:25 EST Tue, 17 Nov 2015, 13:59:59 EST Tue, 06 Sep 2016, 22:06:57 EST Tue, 05 Dec 2017, 12:44:52 EST Fri, 07 Sep 2018, 16:48:32 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 216 Abstract Views, 507 File Downloads  -  Detailed Statistics Created: Tue, 26 Nov 2013, 12:52:49 EST