Deformable Template Recognition of Multiple Occluded Objects

Authors:
Kanti V. Mardia;Wei Qian;Druti Shah;Kevin M. A. de Souza
Affiliations:
Univ. of Leeds, Leeds, England, UK;Univ. of Leeds, Leeds, England, UK;Univ. of Leeds, Leeds, England, UK;Univ. of Leeds, Leeds, England, UK
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
1997

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Abstract

Based on deformable templates, the paper formulates an integrated and flexible Bayesian recognition system of multiple occluded objects. Various local dependence properties of the model are obtained to reduce the computational cost with the increase in the number of objects. Numerical results for a synthetic image and for a real image of mushrooms are discussed.