Classifying Textures when Seen from Different Distances

The purpose of this work is to analyse what happens to the surface information when the image resolution is modified. We deduce how the same surface appears if seen from different distances. Using 4-source Colour Photometric Stereo, which provides the surface shape and colour information, a method for predicting how surface texture looks like when changing the distance of the camera is presented. We demonstrate this technique by classifying textured surfaces seen from different distances than the textured surfaces in the database.

• Type: Conference
• Year: 2002
• Where: ICPR
• Authors: Maria Petrou, Xavier Lladó
• Keywords: Colour Photometric Stereo, Computer Vision, ICPR 2002, Surface Texture, Textured Surfaces