A competition-based deformable template for junction extraction

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Title: A competition-based deformable template for junction extraction
Authors: Cazorla, Miguel | Escolano, Francisco | Gallardo López, Domingo | Colomina Pardo, Otto
Research Group/s: Robótica y Visión Tridimensional (RoViT) | Laboratorio de Investigación en Visión Móvil (MVRLab)
Center, Department or Service: Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial
Keywords: Junction extraction | Deformable templates | Energy minimization | Region competition
Knowledge Area: Ciencia de la Computación e Inteligencia Artificial
Issue Date: May-1999
Abstract: 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.
Description: Comunicación presentada en el VIII Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes, Bilbao, mayo 1999.
URI: http://hdl.handle.net/10045/23387
Language: eng
Type: info:eu-repo/semantics/conferenceObject
Peer Review: si
Appears in Collections:INV - RoViT - Comunicaciones a Congresos, Conferencias, etc.

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