ROCHADE: Robust Checkerboard Advanced Detection for Camera Calibration | VitaVision
PaperECCV · 2014

ROCHADE: Robust Checkerboard Advanced Detection for Camera Calibration

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ROCHADE: Robust Checkerboard Advanced Detection

Detect a full planar checkerboard in an image by reducing the gradient-magnitude edge set to a single-pixel centreline graph, extracting inner corners as graph saddle points, then refining each corner to subpixel accuracy by fitting a bivariate quadratic to a cone-filtered neighbourhood and solving for its stationary point.

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’92’93’94’95’96’97’98’99’00’01’02’03’04’05’06’07’08’09’10’11’12’13’14’15’16’17’18’19’20’21’22’23MATE: Machine Learning for Adaptive Calibration Template Detection (2016)OCPAD — Occluded Checkerboard Pattern Detector (2016)Sub-Pixel Chessboard Corner Localization for Camera Calibration and Pose Estimation (2018)Pyramidal Blur Aware X-Corner Chessboard Detector (2021)A highly accurate and robust deep checkerboard corner detector (2021)Learning-Based Distortion Correction and Feature Detection for High Precision and Robust Camera Calibration (2022)CCDN: Checkerboard Corner Detection Network for Robust Camera Calibration (2023)Enhanced Checkerboard Detection Using Gaussian Processes (2023)Generating skeletons and centerlines from the distance transform (1992)Using saddle points for subpixel feature detection in camera calibration targets (2003)A New Sub-Pixel Detector for X-Corners in Camera Calibration Targets (2005)Automatic detection of checkerboards on blurred and distorted images (2008)