Automatic face recognition for film character retrieval in feature-length films
Contribuinte(s) |
[Unknown] |
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Data(s) |
01/01/2005
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Resumo |
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%). |
Identificador | |
Idioma(s) |
eng |
Publicador |
IEEE |
Relação |
http://dro.deakin.edu.au/eserv/DU:30058433/arandjelovic-automaticface-2005.pdf http://doi.org/10.1109/CVPR.2005.81 |
Direitos |
2005, IEEE |
Palavras-Chave | #image analysis #image processing #image quality #motion pictures #optimization #feature length films #recognition method |
Tipo |
Conference Paper |