Name
Title | ||
|---|---|---|
Covariance-Based Descriptors for Efficient 3D Shape Matching, Retrieval, and Classification |
Abstract | ||
|---|---|---|
State-of-the-art 3D shape classification and retrieval algorithms, hereinafter referred to as shape analysis, are often based on comparing signatures or descriptors that capture the main geometric and topological properties of 3D objects. None of the existing descriptors, however, achieve best performance on all shape classes. In this article, we explore, for the first time, the usage of covarianc... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TMM.2015.2457676 | IEEE Transactions on Multimedia |
Keywords | Field | DocType |
Three-dimensional displays,Shape,Covariance matrices,Manifolds,Kernel,Measurement,Standards | Estimation of covariance matrices,Pattern recognition,Computer science,Matrix (mathematics),Covariance intersection,Artificial intelligence,Cluster analysis,Kernel method,Heat kernel signature,Shape analysis (digital geometry),Covariance | Journal |
Volume | Issue | ISSN |
17 | 9 | 1520-9210 |
Citations | PageRank | References |
15 | 0.50 | 45 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hedi Tabia | 1 | 278 | 16.27 |
| Hamid Laga | 2 | 376 | 27.28 |