Structured learning approach to image descriptor combination
In this study, the authors address the problem of combining descriptors for purposes of object categorisation and classification. The authors cast the problem in a structured learning setting by viewing the classifier bank and the codewords used in the categorisation and classification tasks as random fields. In this manner, the authors can abstract the problem into a graphical model setting, in which the fusion operation is a transformation over the field of descriptors and classifiers. Thus,...[Show more]
|Collections||ANU Research Publications|
|Source:||IET Computer Vision|
|01_Zhou_Structured_learning_approach_2011.pdf||389.97 kB||Adobe PDF||Request a copy|
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