Appearance-based object recognition using support vector machines

Support vector machines (SVM) are a class of algorithms derived from the statistical learning theory that are receiving growing interest by the computer vision community as they present some advantages over classical techniques. This work investigates the ability of SVM to perform appearance-based o...

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Bibliographic Details
Published inProceedings XIV Brazilian Symposium on Computer Graphics and Image Processing p. 399
Main Authors dos Santos, E.M., Gomes, H.M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2001
Subjects
Backpropagation algorithms
Computer vision
Kernel
Mathematical model
Object recognition
Polynomials
Statistical learning
Support vector machine classification
Support vector machines
Valves
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Summary:Support vector machines (SVM) are a class of algorithms derived from the statistical learning theory that are receiving growing interest by the computer vision community as they present some advantages over classical techniques. This work investigates the ability of SVM to perform appearance-based object recognition. Initial experiments indicated that this may be a promising approach to the problem.
ISBN:0769513301
9780769513300
DOI:10.1109/SIBGRAPI.2001.963105