ORB: An efficient alternative to SIFT or SURF | VitaVision
PaperICCV · 2011

ORB: An efficient alternative to SIFT or SURF

Ethan RubleeVincent RabaudKurt KonoligeGary Bradski
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In the Atlas

AlgorithmPrimary source of
ORB: Oriented FAST and Rotated BRIEF

Detects rotation-invariant oriented keypoints by running FAST-9 on a √2 image pyramid, ranking by Harris cornerness, and assigning orientation from the intensity centroid; describes each keypoint with a 256-bit rBRIEF binary string formed by greedy selection of low-correlation, high-variance pairwise pixel-intensity tests on a smoothed 31×31 patch.

Cited as a reference by 2 pages, grouped by domain

Features 2
Feature DescriptorsIntegral Image

Appears in 3 narratives

NarrativeDetection, Removing the MachineryNarrativeThe Geometry Pipeline CollapsesNarrativeVision Under a Latency Budget

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’88’89’90’91’92’93’94’95’96’97’98’99’00’01’02’03’04’05’06’07’08’09’10’11’12’13’14’15’16’17’18’19’20’21SuperGlue: Learning Feature Matching with Graph Neural Networks (2020)LoFTR: Detector-Free Local Feature Matching with Transformers (2021)A Combined Corner and Edge Detector (1988)Distinctive Image Features from Scale-Invariant Keypoints (2004)SURF: Speeded Up Robust Features (2006)Machine Learning for High-Speed Corner Detection (2006)EPnP: An Accurate O(n) Solution to the PnP Problem (2009)BRIEF: Binary Robust Independent Elementary Features (2010)