DocumentCode :
2502520
Title :
Ridgelet and BP neural network based face detection method
Author :
Xu, Xuebin ; Zhang, Xinman ; Zhang, Deyun
Author_Institution :
Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., Xi´´an
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
9276
Lastpage :
9279
Abstract :
The ridgelet transformation was introduced as a sparse expansion for functions on continuous spaces that are smooth away from discontinuities along lines. Focusing on the face detection problem, a novel face detection method using ridgelet transform and BP neural network was proposed. Two stages are involved in this method. Firstly, the pretreated face images are decomposed by the ridgelet transformation. Then the corresponding ridgelet coefficients are set as the input samples for a well-designed BP neural network. The good results are thus obtained.
Keywords :
backpropagation; face recognition; feature extraction; image segmentation; neural nets; transforms; BP neural network; continuous space; face detection; face image decomposition; function expansion; line discontinuity; ridgelet coefficient; ridgelet transform; Automation; Cathode ray tubes; Face detection; Intelligent control; Neural networks; BP neural network; Face detection; Ridgelet transformation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4594399
Filename :
4594399
Link To Document :
بازگشت