Chapter

Computer Vision — ECCV '96

Volume 1064 of the series Lecture Notes in Computer Science pp 71-82

Date:

Recognition of geons by parametric deformable contour models

  • Maurizio PiluAffiliated withDepartment of Artificial Intelligence, University of Edinburgh
  • , Robert B. FisherAffiliated withDepartment of Artificial Intelligence, University of Edinburgh

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Abstract

This paper presents a novel approach to the detection and recognition of qualitative parts like geons from real 2D intensity images. Previous works relied on semi-local properties of either line drawings or good region segmentation. Here, in the framework of Model-Based Optimisation, whole geons or substantial sub-parts are recognised by fitting parametric deformable contour models to the edge image by means of a Maximum A Posteriori estimation performed by Adaptive Simulated Annealing, accounting for image clutter and limited occlusions. A number of experiments, carried out both on synthetic and real edge images, are presented.