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Face recognition with occlusion using dynamic image-to-class warping (DICW)
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Wei, Xingjie, Li, Chang-Tsun and Hu, Yongjian (2013) Face recognition with occlusion using dynamic image-to-class warping (DICW). In: IEEE International Conference on Automatic Face and Gesture Recognition (FG), Shanghai, China, 22-26 April 2013. Published in: 2013 10th IEEE International Conference and workshops on Automatic Face and Gesture Recognition (FG) pp. 1-6. ISBN 9781467355452. doi:10.1109/FG.2013.6553747
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Official URL: http://10.1109/FG.2013.6553747
Abstract
A 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 subpatches, 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.
Item Type: | Conference Item (Paper) | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Journal or Publication Title: | 2013 10th IEEE International Conference and workshops on Automatic Face and Gesture Recognition (FG) | ||||
Publisher: | IEEE | ||||
ISBN: | 9781467355452 | ||||
Official Date: | 2013 | ||||
Dates: |
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Page Range: | pp. 1-6 | ||||
DOI: | 10.1109/FG.2013.6553747 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Date of first compliant deposit: | 26 December 2015 | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | IEEE International Conference on Automatic Face and Gesture Recognition (FG) | ||||
Type of Event: | Conference | ||||
Location of Event: | Shanghai, China | ||||
Date(s) of Event: | 22-26 April 2013 |
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