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Publicação
Using data visualization to deduce faces expressions
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Autores
Orientador(es)
Resumo(s)
Collect and examine in real time multi modal sensor data of a human face, is an important problem in computer vision, with applications in medical and monitoring analysis, entertainment and security. Although its advances, there are still many open issues in terms of the identification of the facial expression. Different algorithms and approaches have been developed to find out patterns and characteristics that can help the automatic expression identification. One way to study data is through data visualizations. Data visualization turns numbers and letters into aesthetically pleasing visuals, making it easy to recognize patterns and find exceptions. In this article, we use information visualization as a tool to analyse data points and find out possible existing patterns in four different facial expressions.
Descrição
Conferência Internacional, realizada na Turquia, de 6-8 de setembro de 2018.
Palavras-chave
Facial expressions Pattern detection Data visualization Kinect
Contexto Educativo
Citação
Editora
Academic World Education and Research Center