Retrieval of 3D models based on multi-instance

A new 3D model retrieval approach is proposed by using multi-instance to understand 3D models, while each object in a 3D model is called instance. For visually connected components are not geometrically connected, we present a two-stage multi-instance generation algorithm. The first stage is to compute connected components from a mesh model. The second stage is to merge connected components by testing intersections among their axis-aligned bounding boxes. And then shape descriptor is extracted for each instance and the similarity between 3D models is measured by means of instances´ shape descriptors. Experimental results show that our method has better performance than the traditional 3D model retrieval approach.