Accurate Detection and Localization of Checkerboard Corners for Calibration | VitaVision
PaperBritish Machine Vision Conference (BMVC) · 2018

Accurate Detection and Localization of Checkerboard Corners for Calibration

Alexander DudaUdo Frese
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In the Atlas

AlgorithmPrimary source of
Localized Radon Checkerboard Corners

Detect checkerboard X-junctions by approximating a localized Radon transform with 1-D box filters on rotated copies of the image; the per-pixel response is the squared difference between the maximum and minimum directional line integrals over four discrete angles.

Cited as a reference by 2 pages, grouped by domain

Calibration 1
GP Checkerboard Enhancement (PyCBD)
Features 1
Chessboard X-Corner Detection

Appears in 1 narrative

NarrativeFinding a Chessboard

Lineage

Papers in the Atlas registry only · one dot per paper
Built upon by · 1
’88’89’90’91’92’93’94’95’96’97’98’99’00’01’02’03’04’05’06’07’08’09’10’11’12’13’14’15’16’17’18’19’20’21’22’23Enhanced Checkerboard Detection Using Gaussian Processes (2023)A Combined Corner and Edge Detector (1988)A Flexible New Technique for Camera Calibration (2000)Automatic detection of checkerboards on blurred and distorted images (2008)A model-based approach to junction detection using radial energy (2008)