Automatic detection of film orientation with support vector machines

被引：0
|
作者：
Walsh, D [1 ]
Omlin, C
机构：
[1] Univ Stellenbosch, Dept Comp Sci, ZA-7600 Stellenbosch, South Africa
[2] Univ Western Cape, Dept Comp Sci, ZA-7535 Bellville, South Africa
来源：
DEVELOPMENTS IN APPLIED ARTIFICAIL INTELLIGENCE, PROCEEDINGS | 2002年 / 2358卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
ln this paper, we present a technique for automatic orientation detection of film rolls using Support Vector Machines (SVMs). SVMs are able to handle feature spaces of high dimension and automatically choose the most discriminative features for classification. We investigate the use of various kernels, including heavy tailed RBF kernels. Our results show that by using SVMs, an accuracy of 100% can be obtained, while execution time is kept to a minimum.
引用
收藏
页码：36 / 46
页数：11
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