Automatic modelling image represented objects using a statistic based approach

• Author(s): Maria João Medeiros de Vasconcelos ; João Manuel Ribeiro da Silva Tavares
• Date: 2005
• Persistent ID: http://hdl.handle.net/10216/236
• Origin: Repositório Aberto da Universidade do Porto
• Subject(s): Ciências tecnológicas; Tecnologia; Tecnologia de computadores
• Document Type: Conference Object
• Language: English

Description

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.