A learning framework for object recognition on image understanding

Authors:
Xavier Muñoz;Anna Bosch;Joan Martí;Joan Espunya
Affiliations:
Institute of Informatics and Applications, University of Girona, Girona, Spain;Institute of Informatics and Applications, University of Girona, Girona, Spain;Institute of Informatics and Applications, University of Girona, Girona, Spain;Institute of Informatics and Applications, University of Girona, Girona, Spain
Venue:
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Year:
2005

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Abstract

In this paper an object learning system for image understanding is proposed. The knowledge acquisition system is designed as a supervised learning task, which emphasises the role of the user as teacher of the system and allows to obtain the object description as well as to select the best recognition strategy for each specific object. From several representative examples in training images, an object description is acquired by considering different model representations. Moreover, different recognition strategies are built and applied to obtain initial results. Next, teacher evaluates these results and the system automatically selects the specific strategy which best recognise each object. Experimental results are shown and discussed.