Nefertiti: a query by content system for three-dimensional model and image databases management
This paper presents a new approach for the classification and retrieval of three-dimensional images and models from databases. A set of retrieval algorithms is introduced. These algorithms are content-based, meaning that the input is not made out of keywords but of three-dimensional models. Tensors of inertia, distribution of normals, distribution of cords and multiresolution analysis are used to describe each model. The database can be searched by scale, shape or color or any combination of these parameters. A user-friendly interface makes the retrieval operation simple and intuitive and makes it possible to edit reference models according to the specifications of the user. Experimental results using a database of more than 400 range images and 1000 VRML models are presented (C) 1999 Elsevier Science B.V. All rights reserved.
query by content three-dimensional object oriented database management system search engine visual information management