3D Model Retrieval Based on Fuzzy Correspondences and Hybrid Shape Features

摘要

With the emergence of a large number of 3D models, retrieving 3D models is becoming more and more important. It is well known that 3D shape features suffer from sparse sampling and view-based features have the ambiguity of different views for a 3D model. In this paper we present a method which combines 3D shape features with view-based features of 3D model to retrieve models. Moreover, according to the retrieval results by using global features search, we provide a retrieval refinement based on local features correspondences. The results show our method is superior to others in different data sets.