You are in the accessibility menu

Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/67948
Title: 
Adaptative techniques for the human faces detection
Author(s): 
Institution: 
  • Universidade Estadual Paulista (UNESP)
  • Universidade Federal de Pernambuco (UFPE)
Abstract: 
This paper presents results from an efficient approach to an automatic detection and extraction of human faces from images with any color, texture or objects in background, that consist in find isosceles triangles formed by the eyes and mouth.
Issue Date: 
23-Nov-2004
Citation: 
ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems, p. 465-468.
Time Duration: 
465-468
Keywords: 
  • Artificial Neural Network
  • Backpropagation
  • Face Recognition
  • Feature Extraction
  • Machine Vision and Image Processing; Adaptive Architecture
  • Adaptive architecture
  • Automatic detection
  • Machine vision and image processing
  • Computer architecture
  • Computer vision
  • Feature extraction
  • Image processing
  • Neural networks
  • Face recognition
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/67948
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

There are no files associated with this item.
 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.