A competition-based deformable template for junction extraction
Contribuinte(s) |
Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial Robótica y Visión Tridimensional (RoViT) Laboratorio de Investigación en Visión Móvil (MVRLab) |
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Data(s) |
11/07/2012
11/07/2012
01/05/1999
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Resumo |
Comunicación presentada en el VIII Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes, Bilbao, mayo 1999. We propose a deformable template for junction extraction. Our method evolves from the Kona approach. Junction detection is performed in two steps: center detection and wedge extraction. In the first stage, a local filter is used to detect candidates. Then a template deformation method is used to find the optimal number of sections. |
Identificador | |
Idioma(s) |
eng |
Direitos |
info:eu-repo/semantics/openAccess |
Palavras-Chave | #Junction extraction #Deformable templates #Energy minimization #Region competition #Ciencia de la Computación e Inteligencia Artificial |
Tipo |
info:eu-repo/semantics/conferenceObject |