NDLI: Selective part models for detecting partially occluded faces in the wild

Content Provider	IEEE Xplore Digital Library
Author	El-Barkouky, Ahmed Shalaby, Ahmed Mahmoud, Ali Farag, Aly
Copyright Year	2014
Description	Author affiliation: CVIP Lab, University of Louisville, USA (El-Barkouky, Ahmed; Shalaby, Ahmed; Mahmoud, Ali; Farag, Aly)
Abstract	Faces in the wild have recently captured the focus of researchers for all facial analysis problems. Partial occlusion is a major problem for analyzing faces captured in unconstrained non-cooperative conditions. Even detecting the faces in such conditions is a challenging problem that needs to be solved before any further analysis of such faces can be done. In this paper, we propose modelling the face as a collection of parts that can be selected from the visible regular facial features and some other objects that can possibly occlude faces such as sunglasses, caps and hands. The proposed algorithm is more toward scene understanding in the sense that it is not only detecting faces but it also suggests the visible parts of these faces and even some of the occluding objects which can help in any further analysis. Experimental results show a state of the art performance on the challenging FDDB database with a thorough analysis of the performance with different types of partial occlusion.
Starting Page	268
Ending Page	272
File Size	1504857
Page Count	5
File Format	PDF
ISBN	9781479957514
DOI	10.1109/ICIP.2014.7025053
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-27
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Barium FDDB Face Detection Part models SPM Partial occlusion
Content Type	Text
Resource Type	Article

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