A method for 3D model identification using histogram normalization based on conformal factor

Abstract

Various people upload a large number of 3D models on website. For protecting the copyright of 3D contents, the technologies for 3D model identification then became necessary. In this paper, we present a method using conformal factor to extract the node of 3D model's topology and combine the data of vertexes histogram of projection from center of sphere to the surface of sphere reference to the latitude and longitude. We resize the 3D models with minimum radius bounding and normalize the size of radius bounding sphere and histogram. It can increase the robustness in various transform and attacks. We use conformal factor to get the 3D model's topology and extract the skeleton and nodes of 3D model. From analyzing the structure of the skeleton and nodes of 3D model, we classify the models. It can improve the identification rate. After this process, we get progressive results in 3D model identification.