A 3D Model Retrieval System Using the Derivative Elevation and 3D-ART

In recent years, the demand for a content-based 3D model retrieval system becomes an important issue. In this study, a novel feature, derivative elevation descriptor (DED), is proposed to extract the exterior information of 3D model. The derivative elevation descriptor (DED) is combined with the elevation descriptor (ED) to retrieval 3D models based on the exterior shape information. Moreover, to derive better retrieval results, we will combine the exterior features with an interior feature 3D-ART by a novel relevance feedback approach. The experiments are conducted on the Princeton shape benchmark (PSB) database. Experiment results show that our proposed method is superior to others.