Abstract
The popularity of 3D shape models in 3D games, 3D mechanical CAD, and other applications lead to explosion in the number of 3D models, and to recent interest in 3D shape similarity search and retrieval. Previously, Nakazawa, et al reported a shape similarity comparison method that computes shape similarity by using a set of 2D images of a 3D shape taken from multiple viewpoints. This paper follows up on their work, presenting an improved distance computation method and a detailed evaluation of the influence of the numbers and positions of viewpoints to the shape comparison performance.