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Face recognition with occlusion using Dynamic Image-to-Class Warping (DICW)
conference contribution
posted on 2013-01-01, 00:00 authored by X Wei, Chang-Tsun LiChang-Tsun Li, Y HuA novel approach Dynamic Image-to-Class Warping (DICW) is proposed to deal with partially occluded face recognition in this work. An image is partitioned into sub-patches, which are then concatenated in the raster scan order to form a sequence. A face consists of forehead, eyes, nose, mouth and chin in a natural order and this order does not change despite occlusion or small rotation. Thus, in this work, a face is represented by the aforementioned sequence which contains the order of facial features. Taking the order information into account, DICW computes the distance between a query face and an enrolled person by finding the optimal alignment between the query sequence and all sequences of that person along both time dimension and within-class dimension. Extensive experiments on public face databases with various types of occlusion have verified the effectiveness of the proposed method. In addition, our method, which considers the inherent structure of the face, performs with greater consistency than current methods when the number of enrolled images per person is limited. Our method does not require any training process and has a low computational cost, which makes it applicable for real-world FR applications.
History
Event
IEEE Computer Society. Conference (10th : 2013 : Shanghai, China)Series
IEEE Computer Society ConferencePagination
1 - 6Publisher
Institute of Electrical and Electronics EngineersLocation
Shanghai, ChinaPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2013-04-22End date
2013-04-26ISBN-13
9781467355452Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2013, IEEEEditor/Contributor(s)
[Unknown]Title of proceedings
FG13 : Proceedings of the 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture RecognitionUsage metrics
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