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Oriented FAST and rotated BRIEF (ORB) is a fast robust local feature detector, first presented by Ethan Rublee et al. in 2011, that can be used in
computer vision Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to understand and automate tasks that the hum ...
tasks like
object recognition Object recognition – technology in the field of computer vision for finding and identifying objects in an image or video sequence. Humans recognize a multitude of objects in images with little effort, despite the fact that the image of the ...
or
3D reconstruction In computer vision and computer graphics, 3D reconstruction is the process of capturing the shape and appearance of real objects. This process can be accomplished either by active or passive methods. If the model is allowed to change its shape i ...
. It is based on the FAST keypoint detector and a modified version of the visual descriptor
BRIEF Brief, briefs, or briefing may refer to: Documents * A letter * A briefing note * Papal brief, a papal letter less formal than a bull, sealed with the pope's signet ring or stamped with the device borne on this ring * Design brief, a type of ed ...
(Binary Robust Independent Elementary Features). Its aim is to provide a fast and efficient alternative to SIFT.


See also

*
Scale-invariant feature transform The scale-invariant feature transform (SIFT) is a computer vision algorithm to detect, describe, and match local ''features'' in images, invented by David Lowe in 1999. Applications include object recognition, robotic mapping and navigation, ima ...
(SIFT) * Gradient Location and Orientation Histogram * LESH - Local Energy based Shape Histogram *
Blob detection In computer vision, blob detection methods are aimed at detecting regions in a digital image that differ in properties, such as brightness or color, compared to surrounding regions. Informally, a blob is a region of an image in which some propert ...
*
Feature detection (computer vision) In computer vision and image processing, a feature is a piece of information about the content of an image; typically about whether a certain region of the image has certain properties. Features may be specific structures in the image such as poi ...


References

{{ reflist, refs {{cite conference , author = Rublee, Ethan , author2 = Rabaud, Vincent , author3 = Konolige, Kurt , author4 = Bradski, Gary , year = 2011 , title = ORB: an efficient alternative to SIFT or SURF , book-title = IEEE International Conference on Computer Vision (ICCV) , url = http://www.vision.cs.chubu.ac.jp/CV-R/pdf/Rublee_iccv2011.pdf {{registration required


External links


Tutorial on ORB
Feature detection (computer vision)