| Pratikakis, I., Savelonas, M. A., Arnaoutoglou, F., Ioannakis, G., Koutsoudis, A., Theoharis, T., Tran, M.-T., Nguyen, V.-T., Pham, V.-K., Nguyen, H.-D., Le, H.-A., Tran, B.-H., To, Q.H., Truong, M.-B., Phan, T.V., Nguyen, M.-D., Than, T.-A., Mac, K.-N.C., Do, M.N., Duong, A-D., Furuya, T., Ohbuchi, R., Aono, M., Tashiro, S., Pickup, David  ORCID: https://orcid.org/0000-0003-2894-0822, Sun, Xianfang  ORCID: https://orcid.org/0000-0002-6114-0766, Rosin, Paul L.  ORCID: https://orcid.org/0000-0002-4965-3884 and Martin, Ralph Robert
      2016.
      
      SHREC'16 track: partial shape queries for 3D object retrieval.
      Presented at: Eurographics Workshop on 3D Object Retrieval,
      Lisbon, Portugal,
      8 May 2016.
      
      
      Eurographics Workshop on 3D Object Retrieval. Item availability restricted. | 
| ![C2016 SHREC?16 Track Partial Shape Queries for 3D Object Retrieval.pdf [thumbnail of C2016 SHREC?16 Track Partial Shape Queries for 3D Object Retrieval.pdf]](https://orca.cardiff.ac.uk/style/images/fileicons/application_pdf.png) | PDF
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Abstract
Despite numerous recent efforts, 3D object retrieval based on partial shape queries remains a challenging problem, far from being solved. The problem can be defined as: given a partial view of a shape as query, retrieve all partially similar 3D models from a repository. The objective of this track is to evaluate the performance of partial 3D object retrieval methods, for partial shape queries of various scan qualities and degrees of partiality. The retrieval problem is often found in cultural heritage applications, for which partial scans of objects query a dataset of geometrically distinct classes.
| Item Type: | Conference or Workshop Item (Paper) | 
|---|---|
| Date Type: | Publication | 
| Status: | Unpublished | 
| Schools: | Schools > Computer Science & Informatics | 
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science | 
| Date of First Compliant Deposit: | 8 September 2016 | 
| Date of Acceptance: | 18 March 2016 | 
| Last Modified: | 19 Oct 2023 11:58 | 
| URI: | https://orca.cardiff.ac.uk/id/eprint/94362 | 
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