FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2736165736> ?p ?o ?g. }

• W2736165736 abstract "The accelerated advancement in modeling, digitizing, and visualizing techniques for 3D shapes has led to an increasing amount of 3D models creation and usage, thanks to the 3D sensors which are readily available and easy to utilize. As a result, determining the similarity between 3D shapes has become consequential and is a fundamental task in shape-based recognition, retrieval, clustering, and classification. Several decades of research in Content-Based Information Retrieval (CBIR) has resulted in diverse techniques for 2D and 3D shape or object classification/retrieval and many benchmark data sets. In this article, a novel technique for 3D shape representation and object classification has been proposed based on analyses of spatial, geometric distributions of 3D keypoints. These distributions capture the intrinsic geometric structure of 3D objects. The result of the approach is a probability distribution function (PDF) produced from spatial disposition of 3D keypoints, keypoints which are stable on object surface and invariant to pose changes. Each class/instance of an object can be uniquely represented by a PDF. This shape representation is robust yet with a simple idea, easy to implement but fast enough to compute. Both Euclidean and topological space on object’s surface are considered to build the PDFs. Topology-based geodesic distances between keypoints exploit the non-planar surface properties of the object. The performance of the novel shape signature is tested with object classification accuracy. The classification efficacy of the new shape analysis method is evaluated on a new dataset acquired with a Time-of-Flight camera, and also, a comparative evaluation on a standard benchmark dataset with state-of-the-art methods is performed. Experimental results demonstrate superior classification performance of the new approach on RGB-D dataset and depth data." @default.
• W2736165736 created "2017-07-21" @default.
• W2736165736 creator A5016708206 @default.
• W2736165736 creator A5075937988 @default.
• W2736165736 creator A5082769962 @default.
• W2736165736 creator A5087094437 @default.
• W2736165736 date "2017-07-12" @default.
• W2736165736 modified "2023-10-18" @default.
• W2736165736 title "3D shape representation with spatial probabilistic distribution of intrinsic shape keypoints" @default.
• W2736165736 cites W1505641881 @default.
• W2736165736 cites W1573897183 @default.
• W2736165736 cites W1586565821 @default.
• W2736165736 cites W1593727536 @default.
• W2736165736 cites W1678356000 @default.
• W2736165736 cites W1809711019 @default.
• W2736165736 cites W1912799504 @default.
• W2736165736 cites W1955462214 @default.
• W2736165736 cites W1982465050 @default.
• W2736165736 cites W1992782387 @default.
• W2736165736 cites W1998664500 @default.
• W2736165736 cites W2005276292 @default.
• W2736165736 cites W2019891074 @default.
• W2736165736 cites W2021122545 @default.
• W2736165736 cites W2023056405 @default.
• W2736165736 cites W2049981393 @default.
• W2736165736 cites W2052577859 @default.
• W2736165736 cites W2074781138 @default.
• W2736165736 cites W2080677412 @default.
• W2736165736 cites W2081984244 @default.
• W2736165736 cites W2087353192 @default.
• W2736165736 cites W2089213173 @default.
• W2736165736 cites W2089760990 @default.
• W2736165736 cites W2089799371 @default.
• W2736165736 cites W2091791686 @default.
• W2736165736 cites W2094016338 @default.
• W2736165736 cites W2098578926 @default.
• W2736165736 cites W2099690844 @default.
• W2736165736 cites W2103359096 @default.
• W2736165736 cites W2106629076 @default.
• W2736165736 cites W2106766627 @default.
• W2736165736 cites W2108337347 @default.
• W2736165736 cites W2111378409 @default.
• W2736165736 cites W2112494174 @default.
• W2736165736 cites W2115182825 @default.
• W2736165736 cites W2120739165 @default.
• W2736165736 cites W2123487031 @default.
• W2736165736 cites W2124561101 @default.
• W2736165736 cites W2129516751 @default.
• W2736165736 cites W2131846894 @default.
• W2736165736 cites W2137948437 @default.
• W2736165736 cites W2140500712 @default.
• W2736165736 cites W2140989404 @default.
• W2736165736 cites W2149708440 @default.
• W2736165736 cites W2151103935 @default.
• W2736165736 cites W2152864241 @default.
• W2736165736 cites W2156222070 @default.
• W2736165736 cites W2159486319 @default.
• W2736165736 cites W2160225702 @default.
• W2736165736 cites W2161271908 @default.
• W2736165736 cites W2162040411 @default.
• W2736165736 cites W2162423873 @default.
• W2736165736 cites W2164307460 @default.
• W2736165736 cites W2167486524 @default.
• W2736165736 cites W2169528473 @default.
• W2736165736 cites W2172246656 @default.
• W2736165736 cites W2172279728 @default.
• W2736165736 cites W2294513330 @default.
• W2736165736 cites W2295332248 @default.
• W2736165736 cites W2342856142 @default.
• W2736165736 cites W4211062996 @default.
• W2736165736 cites W4237335133 @default.
• W2736165736 cites W4240902149 @default.
• W2736165736 cites W4245181479 @default.
• W2736165736 doi "https://doi.org/10.1186/s13634-017-0483-y" @default.
• W2736165736 hasPublicationYear "2017" @default.
• W2736165736 type Work @default.
• W2736165736 sameAs 2736165736 @default.
• W2736165736 citedByCount "7" @default.
• W2736165736 countsByYear W27361657362019 @default.
• W2736165736 countsByYear W27361657362020 @default.
• W2736165736 countsByYear W27361657362021 @default.
• W2736165736 countsByYear W27361657362022 @default.
• W2736165736 crossrefType "journal-article" @default.
• W2736165736 hasAuthorship W2736165736A5016708206 @default.
• W2736165736 hasAuthorship W2736165736A5075937988 @default.
• W2736165736 hasAuthorship W2736165736A5082769962 @default.
• W2736165736 hasAuthorship W2736165736A5087094437 @default.
• W2736165736 hasBestOaLocation W27361657361 @default.
• W2736165736 hasConcept C118317068 @default.
• W2736165736 hasConcept C153180895 @default.
• W2736165736 hasConcept C154945302 @default.
• W2736165736 hasConcept C17744445 @default.
• W2736165736 hasConcept C199539241 @default.
• W2736165736 hasConcept C2776359362 @default.
• W2736165736 hasConcept C31972630 @default.
• W2736165736 hasConcept C41008148 @default.
• W2736165736 hasConcept C49937458 @default.
• W2736165736 hasConcept C94625758 @default.
• W2736165736 hasConceptScore W2736165736C118317068 @default.
• W2736165736 hasConceptScore W2736165736C153180895 @default.

• next