3D texture classification using 3D texture histogram model and SVM

被引：0
|
作者：
Meng, Li [1 ]
Ping, Fu [1 ]
Sun Shenghe [1 ]
机构：
[1] Harbin Inst Technol, Dept Automat Tect & Control, Harbin 150080, Peoples R China
来源：
ICEMI 2007: PROCEEDINGS OF 2007 8TH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOL II | 2007年
关键词：
3D texture; texture classification; histogram model; SVM;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
A 3D texture classification method based on Support Vector Machines (SVM) and histogram model is proposed in this paper. We compute the bidirectional histogram of Lambertian, isotropic, randomly rough surfaces which are common in real-world scenes firstly, and final classification results are gained with SVM. Performance is evaluated by employing 600 texture images corresponding to 61 real-world surface samples extracted from the Columbia-Utrecht reflectance and texture (CLUReT) database. Our experiments produce good classification results.
引用
收藏
页码：940 / 943
页数：4
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