Oriented FAST and rotated BRIEF
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Feature detection |
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Edge detection |
Corner detection |
Blob detection |
Ridge detection |
Hough transform |
Structure tensor |
Affine invariant feature detection |
Feature description |
Scale space |
Oriented FAST and rotated BRIEF (ORB) is a fast robust local feature detector, first presented by Ethan Rublee et al. in 2011,[1] that can be used in computer vision tasks like object recognition or 3D reconstruction. It is based on the FAST keypoint detector and a modified version of the visual descriptor BRIEF (Binary Robust Independent Elementary Features). Its aim is to provide a fast and efficient alternative to SIFT.
See also
[edit]- Scale-invariant feature transform (SIFT)
- Gradient Location and Orientation Histogram
- LESH - Local Energy based Shape Histogram
- Blob detection
- Feature detection (computer vision)
References
[edit]- ^ a b Rublee, Ethan; Rabaud, Vincent; Konolige, Kurt; Bradski, Gary (2011). "ORB: an efficient alternative to SIFT or SURF". IEEE International Conference on Computer Vision (ICCV). (registration required)