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On the role of structure in part-based object detection

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3 Author(s)
Passino, G. ; Queen Mary, Univ. of London, London ; Patras, I. ; Izquierdo, E.

Part-based approaches in image analysis aim at exploiting the considerable discriminative power embedded in relations among image parts. Nonetheless, learning structural information is not always possible without the availability of a training set of classified parts, and taking into account this additional information can even degrade the performance of the system. In this paper, a discriminative graphical model for object detection is introduced and used in order to analyse and report results on the role of structural information in image classification tasks.

Published in:

Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on

Date of Conference:

12-15 Oct. 2008