CFP last date
20 December 2024
Reseach Article

Robust Face Detection using Fusion of Haar and Daubechies Orthogonal Wavelet Template

by Chirag I Patel, Sanjay Garg
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 6
Year of Publication: 2012
Authors: Chirag I Patel, Sanjay Garg
10.5120/6915-9315

Chirag I Patel, Sanjay Garg . Robust Face Detection using Fusion of Haar and Daubechies Orthogonal Wavelet Template. International Journal of Computer Applications. 46, 6 ( May 2012), 38-44. DOI=10.5120/6915-9315

@article{ 10.5120/6915-9315,
author = { Chirag I Patel, Sanjay Garg },
title = { Robust Face Detection using Fusion of Haar and Daubechies Orthogonal Wavelet Template },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 6 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 38-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number6/6915-9315/ },
doi = { 10.5120/6915-9315 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:39:05.124447+05:30
%A Chirag I Patel
%A Sanjay Garg
%T Robust Face Detection using Fusion of Haar and Daubechies Orthogonal Wavelet Template
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 6
%P 38-44
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Face detection is fundamental step in the process of face recognition. This work presents a robust approach for Face detection. Orthogonal wavelet considerer details of images and its multi-resolution representation. Template making procedure consider lots of face images. After that orthogonal wavelet transform is applied on that each image and make one template of face after averaging all wavelet transform images coefficients, and using matching algorithm that template is matched with test images and thus face is detected in images. Experimental results indicate that this approach is more efficient and accurate for robust domain

References
  1. Oliver Jesorsky, Klaus J. Kirchberg, and Robert W. Frischholz. Robust Face Detection Using the Hausdorff Distance. In Josef Bigun and Fabrizio Smeraldi, 2001, Audio- and Video-Based Person Authentication - AVBPA 2001, volume 2091 of Lecture Notes in Computer Science, pages 90-95, Halmstad, Sweden, 2001. Springer.
  2. Klaus J. Kirchberg, Oliver Jesorsky, and Robert W. Frischholz Genetic Model Optimization for Hausdorff Distance-Based Face Localization In Proc. International ECCV 2002 Workshop on Biometric Authentication, Springer, Lecture Notes in Computer Science, LNCS-2359, pp. 103-111, Copenhagen, Denmark, June 2002.
  3. P. Viola and M. Jones, 2001, Rapid object detection using a boosted cascade of simple features. In Proc. of Computer Vision and Pattern Recognition (CVPR) Volume: 1, On Page(s): I-511 - I-518 vol. 1.
  4. Rainer Lienhart and Jochen Maydt, 'An Extended Set of Haar-like Features for Rapid Object Detection'. IEEE ICIP 2002, Vol. 1, pp. 900-903, Sep. 2002.
  5. Rein-Lien Hsu, Mohamed Abdel-Mottaleb and Anil K Jain May 2002 Face Detection In Color Image IEEE Transactions Pattern Analysis and Machine Intelligence Volume: 24, Issue: 5 Page(s): 696 – 706.
  6. Hossein Sahoolizadeh, Davood Sarikhanimoghadam, and Hamid Dehghani, SEPTEMBER 2008, Face Detection using Gabor Wavelets and Neural Networks, World Academy of Science, Engineering and Technology ISSUE 21 Page no 552-554.
  7. Avinash Kaushal and J P S Raina, Face Detection using Neural Network & Gabor Wavelet Transform, IJCST Vol. 1, Issue 1, September 2010.
  8. Liming Wang, Jianbo Shi, Gang Song, and I-fan Shen,'Object Detection Combining Recognition and Segmentation' ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I Pages 189-199
  9. H Schneiderman, T Kanade 'A statistical method for 3D object detection applied to faces and cars' Proceedings IEEE Conference on Computer Vision and Pattern Recognition CVPR 2000 Volume: 1, Publisher: IEEE Comput. Soc, Pages: 746-751
  10. Erik Hjelmas and Boon Kee Low 2001 Face Detection: A Survey Computer Vision and Image Understanding 83, page no 236–274.
  11. Chirag Patel and Ripal Patel, 'Gaussian mixture model based Moving object detection from video sequence' Proceeding ICWET 2011 published by ACM digital library.
  12. Romdhani, S , Torr, P, Scholkopf, B. , Blake, A. , 'Computationally Efficient Face Detection' Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference Volume: 2 Page(s): 695 - 700 vol. 2.
  13. Ingrid Daubechies: Ten Lectures on Wavelets, SIAM 1992.
  14. A Wavelet Tour of Signal Processing by Stephane Mallat.
  15. Jensen; la Cour-Harbo (2001). Ripples in Mathematics. Berlin: Springer. pp. 157–160. ISBN 3-540-41662-5.
  16. Haar A. Zur Theorie der orthogonalen Funktionensysteme, Mathematische Annalen, 69, pp 331–371, 1910.
  17. James S. Walker. 1999. A Primer on Wavelets and Scientific Applications.
  18. Applying the Haar Wavelet Transform to Time Series Information.
  19. Nick, K. and Julian, M. 1997. Wavelet Transform in Image Processing. Signal Processing and Prediction I, Eurasip, ICT press, 23-34.
  20. http://www. cl. cam. ac. uk/research/dtg/attarchive/facedatabase. html
  21. http://menshair. about. com/od/haircaretips/ig/Male-Face-Shapes/Oval---Barry-Watson. htm
  22. http://hairremoval. about. com/od/eyebrowshaping/ss/brow-showcase_4. htm
  23. http://www. mandependence. com/lets-grow-a-beard
  24. http://www. infobarrel. com/How_to_Shave_Your_Face
  25. http://www. holytaco. com/classic-taco-what-your-facial-hair-really-says-about-you/
  26. http://sookiestackhouse. com/?cat=148
Index Terms

Computer Science
Information Sciences

Keywords

Image Processing And Computer Vision