Image-Based Hierarchical Method of 3D Model Retrieval

In this paper, we present a novel and hierarchical image-based retrieval method of 3D shape by using categorization tree. Unlike other methods, we can get the accurate matched 3D shape by comparing only a small subset of the model database. The central idea of our method is that the categorization tree is used to organize all 3D shapes and form a representative subset of the database. The retrieval is divided into two stages: we first get a temp matched shape from the subset, and then obtain the final matched shape from the shapes which are close to the temp matched shape in the categorization tree. In the process of search, we use the Suggestive Contour to improve the accuracy of the matching. To speed up the search, we adopt the min-hash and the inverted index techniques. Experiments on database demonstrate accuracy, robustness and efficiency of our method.