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

Authors:
Manuel J. Marín-Jiménez;Nicolás Pérez Blanca;José I. Gómez
Affiliations:
Dpt. Computer Science and Artificial Intelligence, University of Granada, ETSI Informática y Telecomunicación, Granada, 18071, Spain;Dpt. Computer Science and Artificial Intelligence, University of Granada, ETSI Informática y Telecomunicación, Granada, 18071, Spain;Department of Computer Science, University of Jaén, Campus Lagunillas, Jaén, 23071, Spain
Venue:
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Year:
2007

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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.