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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.

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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: Centre for Pattern Recognition and Data Analytics
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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.