3D Texture Classification Using the Correlation Function nd SVM

摘要：

A 3D texture classification method based on Support Vector Machines (SVM) and correlation model is proposed in this paper. The invariant features are extracted from images of textures surfaces by means of the correlation function, 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 (CUReT) database. Our experiments produce good classification results.

关键词： 3D texture texture classification correlation function SVM

作者: Meng Li Ping Fu Canjie Huang

作者单位: Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, 150001

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）