Name
Title | ||
|---|---|---|
Computation of orientational filters for real-time computer vision problems I: implementation and methodology |
Abstract | ||
|---|---|---|
Orientational filters have been used frequently for computer vision problems. Despite their strength in various vision problems, their use in real-time applications has been limited since they are computationally intensive. This paper examines various types of orientational filters and their implementation schemes, and proposes an efficient computation method called separable approximation . There are three different algorithms for the approximation: Singular Value Decomposition, Orthogonal Sequence Decomposition and Singular Value/Orthogonal Sequence Decomposition . Implementation is described and evaluated based on throughput, latency, computational complexity and the amount of storage required. Performance of these algorithms is examined on Gabor filters, and their effectiveness is demonstrated. |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1006/rtim.1995.1026 | Real-Time Imaging |
Keywords | DocType | Volume |
orientational filter,real-time computer vision problem,computational complexity,singular value,singular value decomposition,computer vision | Journal | 1 |
Issue | ISSN | Citations |
4 | Real-Time Imaging | 4 |
PageRank | References | Authors |
1.29 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Toshiro Kubota | 1 | 219 | 20.56 |
| Cecil O. Alford | 2 | 27 | 7.87 |