Describing texture directions with Von Mises distributions

In this work we describe a new approach for texture characterization. Starting from the autocorrelation matrix an elegant description through a mixture of Von Mises distributions is proposed. A compact 6 valued descriptor is produced for each block and served as input to an SVM classifier. Tests are carried out on high resolution illuminated manuscripts images.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Costantino Grana, Daniele Borghesani, Rita Cucchiara
• Keywords: Computer Vision, ICPR 2008, Resolution Illuminated Manuscripts, SVM Classifier, Von Mises Distributions