Title :
Appearance-based object recognition using support vector machines
Author :
Dos Santos, Euland Mairanda ; Gomes, Herman Martins
Author_Institution :
Departamento de Sistemas e Computacao, Univ. Fed. da Paraiba, Brazil
Abstract :
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
Keywords :
image recognition; learning automata; object recognition; SVM; appearance-based object recognition; computer vision; statistical learning theory; support vector machines; Backpropagation algorithms; Computer vision; Kernel; Mathematical model; Object recognition; Polynomials; Statistical learning; Support vector machine classification; Support vector machines; Valves;
Conference_Titel :
Computer Graphics and Image Processing, 2001 Proceedings of XIV Brazilian Symposium on
Conference_Location :
Florianopolis
Print_ISBN :
0-7695-1330-1
DOI :
10.1109/SIBGRAPI.2001.963105
