Locating and Segmenting 3D Deformable Objects by Using Clusters of Contour Fragments

Abstract. This paper presents a new approach to the problem of simultaneous location and segmentation of object in images. The main emphasis is done on the information provided by the contour fragments present in the image. Clusters of contour fragments are created in order to represent the labels defining the different parts of the object. An unordered probabilistic graph is used to model the objects, where a greedy approach using dynamic programming is used to fit the graph model to the labels.

• Type: Conference
• Year: 2007
• Where: IBPRIA
• Authors: Manuel J. Marín-Jiménez, Nicolas Pérez de la Blanca, José I. Gómez
• Keywords: Contour Fragments, IBPRIA 2007, Image, Image Analysis, Simultaneous Location, Unordered Probabilistic Graph