Abstract
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%).
Original language | English |
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Title of host publication | Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 |
Pages | 860-867 |
Number of pages | 8 |
Volume | I |
DOIs | |
Publication status | Published - 2005 |
Event | 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - San Diego, CA, United States Duration: 20 Jun 2005 → 25 Jun 2005 |
Conference
Conference | 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 |
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Country/Territory | United States |
City | San Diego, CA |
Period | 20/06/05 → 25/06/05 |