PaperECCV · 2014
ROCHADE: Robust Checkerboard Advanced Detection for Camera Calibration
1page built on it
8more pages cite it
1narrative
8registry papers cite it
In the Atlas
AlgorithmPrimary source of
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.
Cited as a reference by 8 pages, grouped by domain
Features 4
Calibration 3
Appears in 1 narrative
Lineage
Papers in the Atlas registry only · one dot per paperBuilt upon by · 8
Builds on · 4
1992Generating skeletons and centerlines from the distance transformNiblack, Gibbons, Capson2003Using saddle points for subpixel feature detection in camera calibration targetsLucchese, Mitra2005A New Sub-Pixel Detector for X-Corners in Camera Calibration TargetsChen, Zhang2008Automatic detection of checkerboards on blurred and distorted imagesRufli, Scaramuzza, SiegwartBuilt upon by · 8
2016MATE: Machine Learning for Adaptive Calibration Template DetectionDonné, Vylder et al.2016OCPAD — Occluded Checkerboard Pattern DetectorFürsattel, Dotenco et al.2018Sub-Pixel Chessboard Corner Localization for Camera Calibration and Pose EstimationYang, Zhao et al.2021Pyramidal Blur Aware X-Corner Chessboard DetectorAbeles2021A highly accurate and robust deep checkerboard corner detectorWu, Wan2022Learning-Based Distortion Correction and Feature Detection for High Precision and Robust Camera CalibrationZhang, Zhao, Qian2023CCDN: Checkerboard Corner Detection Network for Robust Camera CalibrationChen, Xiong, Zhang