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Authors: João Fernando Marar 1 ; Danilo Nogueira Costa 1 ; Olympio Jose Pinheiro 2 and Edson Costa de Barros Carvalho Filho 3

Affiliations: 1 Laboratório de Sistemas Adaptativos e Computação Inteligente (SACI) – Universidade Estadual Paulista “Júlio de Mesquita Filho” (UNESP), Brazil ; 2 Faac – UNESP, Brazil ; 3 Cin – UFPE, Brazil

Keyword(s): Machine Vision and Image Processing; Adaptive Architecture, Artificial Neural Network, Backpropagation, Face Recognition, Feature Extraction.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Industrial Applications of Artificial Intelligence ; Methodologies and Methods ; Neural Network Software and Applications ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

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.

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Paper citation in several formats:
Fernando Marar, J.; Nogueira Costa, D.; Jose Pinheiro, O. and Costa de Barros Carvalho Filho, E. (2004). ADAPTATIVE TECHNIQUES FOR THE HUMAN FACES DETECTION. In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 972-8865-00-7; ISSN 2184-4992, SciTePress, pages 465-468. DOI: 10.5220/0002644704650468

@conference{iceis04,
author={João {Fernando Marar}. and Danilo {Nogueira Costa}. and Olympio {Jose Pinheiro}. and Edson {Costa de Barros Carvalho Filho}.},
title={ADAPTATIVE TECHNIQUES FOR THE HUMAN FACES DETECTION},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2004},
pages={465-468},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002644704650468},
isbn={972-8865-00-7},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - ADAPTATIVE TECHNIQUES FOR THE HUMAN FACES DETECTION
SN - 972-8865-00-7
IS - 2184-4992
AU - Fernando Marar, J.
AU - Nogueira Costa, D.
AU - Jose Pinheiro, O.
AU - Costa de Barros Carvalho Filho, E.
PY - 2004
SP - 465
EP - 468
DO - 10.5220/0002644704650468
PB - SciTePress

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