Automatic modelling image represented objects using a statistic based approach

• Autor(a) principal: Maria João M. de Vasconcelos
• Data de Publicação: 2005
• Outros Autores: João Manuel R. S. Tavares
• Tipo de documento: Livro
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: https://hdl.handle.net/10216/236
• topic: Tecnologia de computadores, Outras ciências da engenharia e tecnologias; Computer technology, Other engineering and technologies

This paper presents new methodologies to automatically extract significant points, from an object represented in images, useful to construct Point Distribution Models. Each model consists of a flexible shape template, describing how significant points of the object can vary, and a statistical model of the expected grey levels in regions around each model point. This information can be used to search objects in new images: Active Shape and Active Appearance Models. Both use PDMs for image analysis, to locate structures modeled in new images, or in a classifier, an estimate can be made of how likely the example in cause is a member of the class of shapes described by the model build. We present results for two objects: a hand and a face.