DocumentCode :
1683081
Title :
A Short Review of Methods for Face Detection and Multifractal Analysis
Author :
Yap, Moi Hoon ; Ugail, Hassan ; Zwiggelaar, Reyer ; Rajoub, Bashar ; Doherty, Victoria ; Appleyard, Stephanie ; Hurdy, Gemma
Author_Institution :
Sch. of Comput., Inf., & Media, Univ. of Bradford Bradford, Bradford, UK
fYear :
2009
Firstpage :
231
Lastpage :
236
Abstract :
The purpose of this paper is to present short reviews the face detection techniques and to study the effect of multifractal analysis in detecting facial features. In reviewing the existing techniques, we have compared the performance of Nilsson et alpsilas algorithm, Haar Training implemented within Open Source Computer Vision Library (OpenCV) and Keinzlepsilas algorithm in face detection. Then, we have produced some experimental results suggesting that the multifractal approach would help to extract key facial features of a human face. We conclude the paper with some discussions on how the work can be taken further.
Keywords :
face recognition; fractals; image classification; Haar classifier; Haar training; Keinzle algorithm; Open Source Computer Vision Library; OpenCV; face detection; facial feature detection; multifractal analysis; Authentication; Biometrics; Computer vision; Constraint theory; Face detection; Face recognition; Facial features; Fractals; Iris; Lighting; Haar classifier; canny; face detection; multifractal; thresholding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
CyberWorlds, 2009. CW '09. International Conference on
Conference_Location :
Bradford
Print_ISBN :
978-1-4244-4864-7
Electronic_ISBN :
978-0-7695-3791-7
Type :
conf
DOI :
10.1109/CW.2009.47
Filename :
5279596
Link To Document :
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