A Comparison of Text and Shape Matching for Retrieval of Online 3D Models

Because of recent advances in graphics hard- and software, both the production and use of 3D models are increasing at a rapid pace. As a result, a large number of 3D models have become available on the web, and new research is being done on 3D model retrieval methods. Query and retrieval can be done solely based on associated text, as in image retrieval, for example (e.g. Google Image Search [1] and [2, 3]). Other research focuses on shape-based retrieval, based on methods that measure shape similarity between 3D models (e.g., [4]). The goal of our work is to take current text- and shape-based matching methods, see which ones perform best, and compare those. We compared four text matching methods and four shape matching methods, by running classification tests using a large database of 3D models downloaded from the web [5]. In addition, we investigated several methods to combine the results of text and shape matching. We found that shape matching outperforms text matching in all our e...

• Type: Conference
• Year: 2004
• Where: ERCIMDL
• Authors: Patrick Min, Michael M. Kazhdan, Thomas A. Funkhouser
• Keywords: 3d Models, ERCIMDL 2004, Matching Methods, Shape Matching