Pyramidal Blur Aware X-Corner Chessboard Detector | VitaVision
PaperarXiv (Cornell University) · 2021

Pyramidal Blur Aware X-Corner Chessboard Detector

Peter Abeles
arXiv 2110.13793DOIView in graph
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In the Atlas

AlgorithmPrimary source of
Pyramidal Blur-Aware X-Corner Chessboard Detector

Detect chessboard X-junctions in heavily blurred or high-resolution images by computing a 16-sample circular x-corner intensity at every level of an image pyramid, selecting per corner the level that maximises intensity per resolution, then assembling a chessboard graph with blur-aware edge validation.

Cited as a reference by 2 pages, grouped by domain

Features 1
Chessboard X-Corner Detection
Image formation 1
Image Pyramid

Appears in 1 narrative

NarrativeFinding a Chessboard

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Papers in the Atlas registry only · one dot per paper
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’88’89’90’91’92’93’94’95’96’97’98’99’00’01’02’03’04’05’06’07’08’09’10’11’12’13’14’15’16’17’18’19’20’21A Combined Corner and Edge Detector (1988)Generating skeletons and centerlines from the distance transform (1992)Good Features to Track (1994)Using saddle points for subpixel feature detection in camera calibration targets (2003)Automatic detection of checkerboards on blurred and distorted images (2008)ChESS — Quick and Robust Detection of Chess-board Features (2013)ROCHADE: Robust Checkerboard Advanced Detection for Camera Calibration (2014)
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