Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/9755
Title: Partially occluded face completion and recognition
Authors: Deng, Y
Li, D
Xie, XD
Lam, KM 
Dai, Q
Keywords: Face recognition
Guided label-learning
Occluded face completion
Issue Date: 2009
Publisher: IEEE
Source: 2009 16th IEEE International Conference on Image Processing (ICIP), 7-10 November 2009, Cairo, p. 4145-4148 How to cite?
Abstract: This paper proposes a spectral graph based algorithm for face image repairing, which can improve the recognition performance on occluded faces. Our algorithm is called `guided label-learning', so named from graphical models, and can achieve a high-quality repairing of damaged or occluded faces. We apply our face repairing algorithm in order to produce completed faces, and then use face recognition to evaluate the performance of our algorithm. Experiment results show that, at most, a nearly 30%-increase in the recognition rate can be achieved for occluded faces with the use of our algorithm.
URI: http://hdl.handle.net/10397/9755
ISBN: 978-1-4244-5653-6
978-1-4244-5655-0 (E-ISBN)
ISSN: 1522-4880
DOI: 10.1109/ICIP.2009.5413474
Appears in Collections:Conference Paper

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