3D Texture Classification Using 3D Texture Histogram Model and SVM

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 (CUReT) database. Our experiments produce good classification results.

关键词： 3D texture Texture classification histogram model SVM

作者: Li Meng Fu Ping Sun Shenghe

作者单位: Dept.Automatic Test and Control,Harbin Institute of Technology,Harbin 150080 China

会议类型: 国际会议

会议名称: 第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）