期刊论文详细信息
Symmetry Integrability and Geometry-Methods and Applications | |
Feature Matching and Heat Flow in Centro-Affine Geometry | |
article | |
Peter J. Olver1  Changzheng Qu2  Yun Yang3  | |
[1] School of Mathematics, University of Minnesota;School of Mathematics and Statistics, Ningbo University;Department of Mathematics, Northeastern University | |
关键词: centro-affine geometry; equivariant moving frames; heat flow; inviscid Burgers’ equation; differential invariant; edge matching 2020 Mathematics Subject Classification 53A15; 53A55; | |
DOI : 10.3842/SIGMA.2020.093 | |
来源: National Academy of Science of Ukraine | |
【 摘 要 】
In this paper, we study the differential invariants and the invariant heat flow in centro-affine geometry, proving that the latter is equivalent to the inviscid Burgers' equation. Furthermore, we apply the centro-affine invariants to develop an invariant algorithm to match features of objects appearing in images. We show that the resulting algorithm compares favorably with the widely applied scale-invariant feature transform (SIFT), speeded up robust features (SURF), and affine-SIFT (ASIFT) methods.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO202106300000633ZK.pdf | 7478KB | download |