Paper
17 January 2005 3-D shape descriptors and distance metrics for content-based artifact retrieval
Author Affiliations +
Abstract
The growing number of large multimedia collections has led to an increased interest in content-based retrieval research. Applications of content-based techniques to image retrieval is an active research area but much less work has been reported on content-based retrieval of 3-D objects in a multimedia database context. Increasingly such objects are being captured and added to multimedia collections and the European project, SCULPTEUR, is developing a museum information system which includes the introduction of facilities for content-based retrieval of the 3-D representations. This paper provides a comparison and evaluation of a range of 3-D shape descriptors and distance metrics which have been introduced into the SCULPTEUR project to demonstrate their use for content-based retrieval applications. Results show that while particular descriptors and distance metrics provide good overall performance, it can be more appropriate to choose different descriptors for different search tasks.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Simon Goodall, Paul H. Lewis, and Kirk Martinez "3-D shape descriptors and distance metrics for content-based artifact retrieval", Proc. SPIE 5682, Storage and Retrieval Methods and Applications for Multimedia 2005, (17 January 2005); https://doi.org/10.1117/12.588585
Lens.org Logo
CITATIONS
Cited by 6 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Shape analysis

Multimedia

3D modeling

Databases

Image retrieval

3D image processing

Navigation systems

Back to Top