DocumentCode :
2199371
Title :
An improvement on the modified gradient method for face localization
Author :
Chai, Taolun ; Zhang, Yang ; Hung, Chih-Cheng
Author_Institution :
Sch. of Comput. & Software Eng., Southern Polytech. State Univ., Marietta, GA, USA
fYear :
2010
fDate :
18-21 March 2010
Firstpage :
143
Lastpage :
146
Abstract :
In this study, we improve the modified gradient method for face localization. In the modified gradient method (MGM) an approach similar to Roberts operator was used for detecting edges in face images. The Sobel edge detector is proposed for detecting edges of a face and generating the gradients for the face detection. Preliminary experimental results show that our proposed method can detect the face more accurately than that of the modified gradient method.
Keywords :
edge detection; face recognition; gradient methods; Roberts operator; Sobel edge detector; face localization; modified gradient method; Detectors; Digital images; Face detection; Face recognition; Gradient methods; Image databases; Image edge detection; Pixel; Principal component analysis; Software engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IEEE SoutheastCon 2010 (SoutheastCon), Proceedings of the
Conference_Location :
Concord, NC
Print_ISBN :
978-1-4244-5854-7
Type :
conf
DOI :
10.1109/SECON.2010.5453900
Filename :
5453900
Link To Document :
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