NDLI: Precise glasses detection algorithm for face with in-plane rotation

Content Provider	Springer Nature Link
Author	Du, Shaoyi Liu, Juan Liu, Yuehu Zhang, Xuetao Xue, Jianru
Copyright Year	2015
Abstract	This paper proposes an accurate glasses detection algorithm for in-plane rotated faces. Firstly, to normalize the face with in-plane rotation to be an upright one, this paper proposes a new set of ±26.565° haar-like features which can be calculated quickly to represent the features of rotated faces. With these new features, we address to build different rotated detectors by rotating upright face detector directly so as to achieve in-plane rotated face detection. Secondly, according to the rule that the objects with fixed and complex structure in a simple background are much easily to be detected, as the eyes have much complex structure in the face, we propose to detect the eyes for minimizing the glasses searching region. Because the nosepiece region of the glasses has much fixed structure and simple background, we use this part to train a new detector with the haar-like features and AdaBoost algorithm for precise glasses detection. This approach accomplishes glasses detection for in-plane rotated face with high speed and precision. The experimental results on the CMU-MIT, BioID, and CAS-PEAL-R1 face databases demonstrate that the algorithms for face, eye and glasses detection yield accurate results and maintain the speed advantage.
Starting Page	293
Ending Page	302
Page Count	10
File Format	PDF
ISSN	09424962
Journal	Multimedia Systems
Volume Number	23
Issue Number	3
e-ISSN	14321882
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2015-10-27
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Face detection In-plane rotation Haar-like feature AdaBoost Glasses detection Multimedia Information Systems Computer Communication Networks Operating Systems Data Storage Representation Data Encryption Computer Graphics
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Media Technology Hardware and Architecture Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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