Publication: Feature-level and descriptor-level information fusion for density-based 3D shape descriptors
dc.contributor.coauthor | Akgül C.B. | |
dc.contributor.coauthor | Sankur B. | |
dc.contributor.coauthor | Schmitt F. | |
dc.contributor.department | Department of Computer Engineering | |
dc.contributor.kuauthor | Yemez, Yücel | |
dc.contributor.kuprofile | Faculty Member | |
dc.contributor.other | Department of Computer Engineering | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.contributor.yokid | 107907 | |
dc.date.accessioned | 2024-11-09T23:22:06Z | |
dc.date.issued | 2007 | |
dc.description.abstract | We address the 3D object retrieval problem using density-based shape descriptors. We explore first and second order local surface features and their multivariate combinations in the density estimation framework. We also experiment with descriptor level information fusion. The results, obtained using two different databases, Princeton Shape Benchmark and Sculpteur, show that, boosted with both feature level and descriptor level information fusion, the density-based shape description framework enables effective and efficient 3D object retrieval. | |
dc.description.indexedby | Scopus | |
dc.description.indexedby | WoS | |
dc.description.openaccess | YES | |
dc.description.publisherscope | International | |
dc.description.sponsoredbyTubitakEu | N/A | |
dc.identifier.doi | 10.1109/SIU.2007.4298872 | |
dc.identifier.isbn | 1424-4071-92 | |
dc.identifier.isbn | 9781-4244-0719-4 | |
dc.identifier.link | https://www.scopus.com/inward/record.uri?eid=2-s2.0-50249116722anddoi=10.1109%2fSIU.2007.4298872andpartnerID=40andmd5=4f3abac761812a5de3e63e46d2ed6cc6 | |
dc.identifier.quartile | N/A | |
dc.identifier.scopus | 2-s2.0-50249116722 | |
dc.identifier.uri | http://dx.doi.org/10.1109/SIU.2007.4298872 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/11007 | |
dc.identifier.wos | 252924600084 | |
dc.keywords | Benchmarking | |
dc.keywords | Data fusion | |
dc.keywords | Fusion reactions | |
dc.keywords | Information fusion | |
dc.keywords | Nuclear physics | |
dc.keywords | Sensor data fusion | |
dc.keywords | Signal processing | |
dc.keywords | 3D object retrieval | |
dc.keywords | 3D shape descriptors | |
dc.keywords | Density estimation | |
dc.keywords | Density-based | |
dc.keywords | Descriptor | |
dc.keywords | Feature-level | |
dc.keywords | Second orders | |
dc.keywords | Shape description | |
dc.keywords | Shape descriptors | |
dc.keywords | Surface features | |
dc.keywords | Three dimensional | |
dc.language | Turkish | |
dc.publisher | IEEE | |
dc.source | 2007 IEEE 15th Signal Processing and Communications Applications, SIU | |
dc.subject | Computer engineering | |
dc.title | Feature-level and descriptor-level information fusion for density-based 3D shape descriptors | |
dc.title.alternative | Olasılık yoǧunluǧuna dayali 3B şekil betimleyicileri için öznitelik ve betimleyici düzeyinde bilgi kaynaşımı | |
dc.type | Conference proceeding | |
dspace.entity.type | Publication | |
local.contributor.authorid | 0000-0002-7515-3138 | |
local.contributor.kuauthor | Yemez, Yücel | |
relation.isOrgUnitOfPublication | 89352e43-bf09-4ef4-82f6-6f9d0174ebae | |
relation.isOrgUnitOfPublication.latestForDiscovery | 89352e43-bf09-4ef4-82f6-6f9d0174ebae |