Authors:
Adriano Martins Moutinho
1
;
Antonio Carlos Gay Thomé
1
and
Pedro Henrique Gouvêa Coelho
2
Affiliations:
1
Núcleo de computação eletrônica, Universidade Federal do Rio de Janeiro, Brazil
;
2
Faculdade de Engenharia, Universidade do Estado do Rio de Janeiro, Brazil
Keyword(s):
Face detection, polygonal projection, neural network, image processing.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
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
;
Intelligent Agents
;
Internet Technology
;
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
;
Web Information Systems and Technologies
Abstract:
Locating the position of a human face in a photograph is likely to be a very complex task, requiring several image and signal processing techniques. This paper proposes a new approach called polygonal facial projection that is able, by measuring specific distances on the image, to extract relevant features and improve efficiency of neural face identification systems (Rowley, 1999) (Moutinho and Thomé, 2004), facilitating the separation of facial patterns from other objects present in the image.