Automatic face recognition for film character retrieval in feature-length films

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, illu...

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Main Authors: Arandjelović, O, Zisserman, A
Format: Conference item
Language:English
Published: IEEE 2005
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author Arandjelović, O
Zisserman, A
author_facet Arandjelović, O
Zisserman, A
author_sort Arandjelović, O
collection OXFORD
description 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%).
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spelling oxford-uuid:74dfefde-0f48-4fb1-a606-4c835521c57a2025-01-17T12:07:32ZAutomatic face recognition for film character retrieval in feature-length filmsConference itemhttp://purl.org/coar/resource_type/c_5794uuid:74dfefde-0f48-4fb1-a606-4c835521c57aEnglishSymplectic ElementsIEEE2005Arandjelović, OZisserman, AThe 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%).
spellingShingle Arandjelović, O
Zisserman, A
Automatic face recognition for film character retrieval in feature-length films
title Automatic face recognition for film character retrieval in feature-length films
title_full Automatic face recognition for film character retrieval in feature-length films
title_fullStr Automatic face recognition for film character retrieval in feature-length films
title_full_unstemmed Automatic face recognition for film character retrieval in feature-length films
title_short Automatic face recognition for film character retrieval in feature-length films
title_sort automatic face recognition for film character retrieval in feature length films
work_keys_str_mv AT arandjelovico automaticfacerecognitionforfilmcharacterretrievalinfeaturelengthfilms
AT zissermana automaticfacerecognitionforfilmcharacterretrievalinfeaturelengthfilms