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

fYear

2001

fDate

37165

Firstpage

399

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Graphics and Image Processing, 2001 Proceedings of XIV Brazilian Symposium on

Conference_Location

Florianopolis

Print_ISBN

0-7695-1330-1

Type

conf

DOI

10.1109/SIBGRAPI.2001.963105

Filename

963105

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1843361