Conference paper
CenSurE: Center Surround Extremas for Realtime Feature Detection and Matching
In
10th European Conference on Computer Vision
—
2008, pp. 102-115
Abstract
We explore the suitability of different feature detectors for the task of image registration, and in particular for visual odometry, using two criteria: stability (persistence across viewpoint change) and accuracy (consistent localization across viewpoint change). In addition to the now-standard SIFT, SURF, FAST, and Harris detectors, we introduce a suite of scale-invariant center-surround detectors (CenSurE) that outperform the other detectors, yet have better computational characteristics than other scale-space detectors, and are capable of real-time implementation.
| Language: | English |
|---|---|
| Publisher: | Springer |
| Year: | 2008 |
| Pages: | 102-115 |
| Proceedings: | 10th European Conference on Computer Vision |
| ISBN: | 3540886923 , 3540886931 , 9783540886921 and 9783540886938 |
| Types: | Conference paper |
| DOI: | 10.1007/978-3-540-88693-8_8 |
