Name
Abstract | ||
|---|---|---|
Many operations of vision require image regions to be isolated and inter-related. This is challenging when they are different in detail and extent. Practical methods of Computer Vision approach this through the tools of downsampling, pyramids, cropping and patches. In this paper we develop an ideal geometric structure for this, compatible with the existing scale space model of image measurement. I... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TPAMI.2017.2777856 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | Field | DocType |
Apertures,Computer vision,IP networks,Glass,Filtering theory,Kernel,Convolution | Aperture,Gaussian filter,Kernel (linear algebra),Computer vision,Pattern recognition,Convolution,Computer science,Pyramid (image processing),Scale space,Gaussian,Artificial intelligence,Upsampling | Journal |
Volume | Issue | ISSN |
41 | 1 | 0162-8828 |
Citations | PageRank | References |
1 | 0.35 | 23 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lewis D. Griffin | 1 | 381 | 45.96 |