CLASSIFICATION OF FACIAL EXPRESSIONS USING DATA MINING AND MACHINE LEARNING ALGORITHMS

• Type: Article in International Conference Proceedings Book
• Date: 2009

Authors

faria, bm (Author) Other; lau, n (Author) Other; reis, lp (Author) FEUP

Conference proceedings International

Title: Sistemas e Tecnologias de Informação - Actas da 4ª Conferência Ibérica de Sistemas e Tecnologias de Informação

Pages: 197-202

CISTI 2009 - 4ª Conferência Ibérica de Sistemas e Tecnologias de Informação

Póvoa de Varzim, 17 a 20 de Junho de 2009

Indexing

ISI Web of Knowledge - 6 Citations

Scopus - 12 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-003-S6S

Abstract (EN): Machine Facial Recognition is a problem that consists in exploring still or video images of a scene to identify or verify one or more persons in the scene using stored databases of faces. Research in Facial Recognition is multidisciplinary including disciplines like pattern recognition, image processing and analysis, computer graphics, machine learning and data mining. Sometimes applications include not only facial recognition but also facial expression characteristics identification and classification like blinking of the eyes, open/close mouth among others. This paper presents a comparative study of three algorithms for classification basic facial expressions.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6