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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Anan, H. Maly, K. Zubair, M. |
| Copyright Year | 2005 |
| Description | Author affiliation: Old Dominion Univ., Norfolk, VA, USA (Anan, H.; Maly, K.; Zubair, M.) |
| Abstract | Many geographically distributed experts in different areas such as medical imaging, e-commerce, and digital museums, are in need of 3D models. Although 3D models are becoming widely available due to the recent technological advancement and modeling tools, we lack a digital library system where they can be searched and retrieved efficiently. In this paper, we focus on an efficient discovery service consisting of multilevel hierarchical browsing service that enables users to navigate large sets of 3D models. For this purpose, we use shape based clustering to abstract a large set of 3D models to a small set of representative models (key models). Our service applies clustering recursively to limit the number of key models that a user views at a time. Clustering is derived from metrics that are based on a concept of compression and similarity computation using surface signatures. Signatures are the two-dimensional representations of a 3D model and they can be used to define similarity between 3D models. We integrated the proposed browsing capability with 3DLIB, (a digital library for 3D models that we are building at Old Dominion University), and evaluated the proposed browsing service using the Princeton Shape Benchmark (PSB). Our evaluation shows significant better precision and recall as compared to other approaches. |
| Starting Page | 492 |
| Ending Page | 498 |
| File Size | 186889 |
| Page Count | 7 |
| File Format | |
| ISBN | 0769523277 |
| ISSN | 15506185 |
| DOI | 10.1109/3DIM.2005.34 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-06-13 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Software libraries Shape Feature extraction Navigation Data mining Biomedical imaging Electronic commerce Content based retrieval Information retrieval Delay |
| Content Type | Text |
| Resource Type | Article |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
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