Title :
3D Texture Classification Using 3D Texture Histogram Model and SVM
Author :
Meng, Li ; Ping, Fu ; Shenghe, Sun
Author_Institution :
Harbin Inst. of Technol., Harbin
Abstract :
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.
Keywords :
image classification; image texture; support vector machines; 3D texture classification; 3D texture histogram model; SVM; support vector machines; texture images; Feature extraction; Histograms; Image texture; Instruments; Lighting; Rough surfaces; Support vector machine classification; Support vector machines; Surface roughness; Surface texture; 3D texture; SVM; Texture classification; histogram model;
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
DOI :
10.1109/ICEMI.2007.4350836
