getCITED   
  Home     Search     Add Content     Reports     Help  
Edit Publication | Edit Contributors | Delete Publication | Edit References | Edit Citations
Add to Bookstack | Show Bookstack | Change Bookstack

FACE DETECTION USING EIGEN METHOD

Post a Comment
CONTRIBUTORS:
  Author HASHAAM NAEEM
JOURNAL:
  International Journal of Engineering Science and Technology (IJEST), 4(3), 882 - 888.
YEAR: 2012
PUB TYPE: Journal Article
SUBJECT(S): Face Detection; Eigen Faces; Image Processing; Digital Image; Biometrics
DISCIPLINE: Engineering and Applied Sciences
HTTP: http://www.ijest.info/docs/IJEST12-04-03-043.pdf
LANGUAGE: English
PUB ID: 103-501-516 (Last edited on 2012/04/02 02:43:11 GMT-6)
SPONSOR(S):
 
ABSTRACT:
As continual research is being conducted in the area of computer vision, one of the most practical applications under vigorous development is in the construction of a robust face detection system. While the problem of detecting faces under various variations remains largely unsolved, a demonstration system as proof of concept that such systems are now becoming practical have been developed. A system capable of reliable detection, with reduced constraints in regards to the position and orientation of the face and the illumination and background of the image, has been implemented. Those face detection system is based upon “eigenfaces”, which has been separated into three major modules – pre-processing, construction of face space and face localization. A completely robust real-time face detection system is still under heavy investigation and development, the implemented systems are still serving as an extendable foundation for future research.
STATISTICS
Click on # to view
 Citations  
 References  
 Comments  
 Quality      0/0.00 
 Interest      0/0.00 
 View(er)s   1/49 
Quality
  N/A
High
  7
  6
  5
  4
  3
  2
  1
Low
Interest
  N/A
High
  7
  6
  5
  4
  3
  2
  1
Low
Prev | Next

    ABOUT getCITED   |    CONTACT US   |    USER INFO   |    PREFERENCES   |    PRIVACY   |    LOG IN   
Comments? Suggestions? Send them to feedback@getCITED.org.

Copyright © 2000-2013 getCITED Inc. All Rights Reserved.