Automatic camera and range sensor calibration using a single shot | VitaVision
PaperIEEE ICRA · 2012

Automatic camera and range sensor calibration using a single shot

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In the Atlas

AlgorithmPrimary source of
Geiger Chessboard Corner Detector

Detect checkerboard X-corners by computing a four-quadrant corner likelihood at each pixel using axis-aligned and 45°-rotated prototype filters at three fixed scales, verifying candidates by gradient-orientation statistics, and refining to subpixel accuracy via gradient-orthogonality weighted least squares — the libcbdetect detector that anchors many subsequent calibration pipelines.

Cited as a reference by 3 pages, grouped by domain

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Papers in the Atlas registry only · one dot per paper
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’88’89’90’91’92’93’94’95’96’97’98’99’00’01’02’03’04’05’06’07’08’09’10’11’12’13’14’15’16’17’18’19’20’21’22’23A highly accurate and robust deep checkerboard corner detector (2021)Learning-Based Distortion Correction and Feature Detection for High Precision and Robust Camera Calibration (2022)Enhanced Checkerboard Detection Using Gaussian Processes (2023)A Combined Corner and Edge Detector (1988)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)