CFP last date
22 April 2024
Reseach Article

Detect and Analyze Face Parts Information using Viola- Jones and Geometric Approaches

by Amr El Maghraby, Mahmoud Abdalla, Othman Enany, Mohamed Y. El Nahas
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 101 - Number 3
Year of Publication: 2014
Authors: Amr El Maghraby, Mahmoud Abdalla, Othman Enany, Mohamed Y. El Nahas
10.5120/17667-8494

Amr El Maghraby, Mahmoud Abdalla, Othman Enany, Mohamed Y. El Nahas . Detect and Analyze Face Parts Information using Viola- Jones and Geometric Approaches. International Journal of Computer Applications. 101, 3 ( September 2014), 23-28. DOI=10.5120/17667-8494

@article{ 10.5120/17667-8494,
author = { Amr El Maghraby, Mahmoud Abdalla, Othman Enany, Mohamed Y. El Nahas },
title = { Detect and Analyze Face Parts Information using Viola- Jones and Geometric Approaches },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 101 },
number = { 3 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 23-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume101/number3/17667-8494/ },
doi = { 10.5120/17667-8494 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:30:43.862432+05:30
%A Amr El Maghraby
%A Mahmoud Abdalla
%A Othman Enany
%A Mohamed Y. El Nahas
%T Detect and Analyze Face Parts Information using Viola- Jones and Geometric Approaches
%J International Journal of Computer Applications
%@ 0975-8887
%V 101
%N 3
%P 23-28
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a new face parts information analyzer, as a promising model for detecting faces and locating the facial features in images. The main objective is to build fully automated human facial measurements systems from images with complex backgrounds. Detection of facial features such as eye, nose, and mouth is an important step for many subsequent facial image analysis tasks. The study covers the tasks detection, landmark localization and measurement facial part that have traditionally been approached as separate problems with different techniques. Different set of techniques have been introduced recently, for example; principal component analysis, geometric modeling, auto-correlation, deformable template, neural networks, color analysis, window classifiers, view-based Eigen space methods, and elastic graph models. The study present a novel and simple model approach based on a mixture of techniques and algorithms in a shared pool based on Viola–Jones object detection framework algorithm combined with geometric and symmetric information of the face parts from the image in a smart algorithm. The study is a continued part of previous work [1] the proposed model is modestly applied with hundreds of face images taken under different lighting conditions, a number of general assumptions used in this research field are identified. After analyzing and testing the new algorithm with hundreds of faces, several promising directions for future research are concluded.

References
  1. A. Maghraby M. Abdalla O. Enany,Hybrid Face Detection System using Combination of Viola - Jones Method and Skin Detection, International Journal of Computer Applications (0975 – 8887) Volume 71– No. 6, May 2013
  2. W. Zhao, R. Chellappa, A. Rosenfeld, and P. Phillips. Face recognition:A literature survey. ACM Computing Surveys, pages 399–458, 2003.
  3. L. Sirovich and M. Meytlis. Symmetry, probability, and recognition inface space. PNAS - Proceedings of the National Academy of Sciences,106(17):6895–6899, April 2009.
  4. P. VIOLA and M. j. Jones, Robust real time face detection ,international journal of computer vision,57 (2004),
  5. K. T. Talele, S. Kadam, A. Tikare, Efficient Face Detection using Adaboost, "IJCA Proc on International Conference in Computational Intelligence", 2012
  6. Phillip I. W. ,Dr. John F. FACIAL FEATURE DETECTION USING HAAR CLASSIFIERS,JCSC 21, (2006)
  7. T. Sakai, M. Nagao, and T. Kanade, Computer analysis and classification of photographs of human faces,in Proc. First USA—Japan Computer Conference, 1972, p. 2. 7.
  8. Z. H. Zhou and X. Geng, "Projection functions for eye detection", Pattern Recognition 37, no 5, pp. 1049-1056, 2004
  9. Daugman J (2006) "Probing the uniqueness and randomness of IrisCodes: Results from 200 billion iris pair comparisons. " Proceedings of the IEEE, 94(11),
  10. Gomai, G. A new approach for pupil detection in iris recognition system ,Computer Engineering and Technology (ICCET), 2010 (Volume:4 )
  11. M. Hassaballah,KenjiMurakami, and Shun Ido, Eye and Nose Fields Detection From Gray Scale Facial Images, MVA2011 IAPR Conference on Machine Vision Applications, June 13-15, 2011, Nara, JAPAN
  12. S. Gurumurthy,B. K. Tripathy ,Design and Implementation of Face Recognition System in Matlab Using the Features of Lips,I. J. Intelligent Systems and Applications,2012,8,30-36
Index Terms

Computer Science
Information Sciences

Keywords

Face detection Video frames Viola- Jones Skin detection Skin color classification. Face detection gender detection recognition machine learning.