Rotated Face Detection Using AdaBoost

Face detection is a challenging problem in the field of computer vision and a key component of machine intelligence. Viola and Jones put forward a face detection framework in 2001 that can process images extremely rapidly while achieving high detection rates. This paper extends the framework to hand...

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Bibliographic Details
Published in:2010 2nd International Conference on Information Engineering and Computer Science pp. 1 - 4
Main Authors: Bi Li, Aiming Yang, Jun Yang
Format: Conference Proceeding
Language:English
Published: IEEE 01.12.2010
Subjects:
Classification algorithms
Detectors
Face
Face detection
Feature extraction
Pixel
Training
ISBN:1424479398, 9781424479399
ISSN:2156-7379
Online Access:Get full text
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Summary:Face detection is a challenging problem in the field of computer vision and a key component of machine intelligence. Viola and Jones put forward a face detection framework in 2001 that can process images extremely rapidly while achieving high detection rates. This paper extends the framework to handle rotated faces through a simple improvement. The method is to rotate the detected sub-windows by 30 degree clockwise and counterclockwise within the image plane. Experimental results show that the proposed algorithm has a good detection rate and reduces the false positives regardless of the rotation of the faces.
ISBN:1424479398
9781424479399
ISSN:2156-7379
DOI:10.1109/ICIECS.2010.5677777