CCDN: Checkerboard Corner Detection Network for Robust Camera Calibration | VitaVision
PaperarXiv (Cornell University) · 2023

CCDN: Checkerboard Corner Detection Network for Robust Camera Calibration

Ben ChenCaihua XiongQi Zhang
arXiv 2302.05097DOIView in graph
1page built on it
3more pages cite it
1narrative
2registry papers cite it

In the Atlas

ModelPrimary source of
CCDN

Fully convolutional network that regresses a per-pixel checkerboard-corner response map; trained with weighted cross-entropy and paired with threshold + NMS + k-means post-processing.

Cited as a reference by 3 pages, grouped by domain

Calibration 2
CCSMATE
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 · 2
’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)A Combined Corner and Edge Detector (1988)Machine Learning for High-Speed Corner Detection (2006)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)MATE: Machine Learning for Adaptive Calibration Template Detection (2016)