Appearance-based object recognition using support vector machines

被引：4

作者：

dos Santos, EM ^{[1
]}

Gomes, HM ^{[1
]}

机构：

[1] Univ Fed Paraiba, Dept Sistemas & Computacao, BR-58109970 Campina Grande, PB, Brazil

来源：

XIV BRAZILIAN SYMPOSIUM ON COMPUTER GRAPHICS AND IMAGE PROCESSING, PROCEEDINGS | 2001年

关键词：

D O I：

10.1109/SIBGRAPI.2001.963105

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 is part of the MsC project of the first author and aims to investigate the ability of SVM to perform appearance-based object recognition. Initial experiments indicated that this may be a promising approach to the problem.

引用

页码：399 / 399

页数：1

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