Structural-Information-Based Robust Corner Point Extraction for Camera Calibration Under Lens Distortions and Compression Artifacts

Previous camera calibration methods often use a checkerboard to capture images and estimate the camera parameters from the correspondences between images and the checkerboard. The corner points in the checkerboard images are used as useful features for correspondence matching. Therefore, it is essen...

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Autores principales:	Seonghyeon Kang, Seong Dae Kim, Munchurl Kim
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Corner point extraction structural information camera calibration lens distortion compression distortion Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/7682384e0a98464b858ecfec8c243c24
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id	oai:doaj.org-article:7682384e0a98464b858ecfec8c243c24
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spelling	oai:doaj.org-article:7682384e0a98464b858ecfec8c243c242021-11-17T00:00:58ZStructural-Information-Based Robust Corner Point Extraction for Camera Calibration Under Lens Distortions and Compression Artifacts2169-353610.1109/ACCESS.2021.3126570https://doaj.org/article/7682384e0a98464b858ecfec8c243c242021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9606884/https://doaj.org/toc/2169-3536Previous camera calibration methods often use a checkerboard to capture images and estimate the camera parameters from the correspondences between images and the checkerboard. The corner points in the checkerboard images are used as useful features for correspondence matching. Therefore, it is essential to precisely find the corner points in the checkerboard images. In many previous works, the corner points are extracted assuming that the checkerboard images are not distorted by its lens. Instead, image blurring and Gaussian noise on the images are usually considered, but other cases are not dealt with. However, the captured checkerboard images are often corrupted by lens distortions and compression artifacts, which leads to performance degradation of corner point extraction. Moreover, the corner points are extracted individually in the previous methods without considering their geometric relations. To better handle the corner point extraction problem under lens distortions, in our corner point extraction optimization, the distorted locations of the pixels on checkerboard images are corrected with the camera parameters, and the structural constraints for checkerboard image grids are then applied under the line-to-line mapping. Also, to robustly find the blurred edges between corner points due to JPEG compression, an edge surface model is newly proposed that models the transitions with over- and under-shoots around the blurred edges. Extensive experimental results show that our method significantly outperforms the state-of-the-art method with average 88.3% and 54.3% reduction in RMSE for corner point reprojection and camera parameter estimation, respectively under compression and lens distortions for synthetic and real data.Seonghyeon KangSeong Dae KimMunchurl KimIEEEarticleCorner point extractionstructural informationcamera calibrationlens distortioncompression distortionElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 151037-151048 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Corner point extraction structural information camera calibration lens distortion compression distortion Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Corner point extraction structural information camera calibration lens distortion compression distortion Electrical engineering. Electronics. Nuclear engineering TK1-9971 Seonghyeon Kang Seong Dae Kim Munchurl Kim Structural-Information-Based Robust Corner Point Extraction for Camera Calibration Under Lens Distortions and Compression Artifacts
description	Previous camera calibration methods often use a checkerboard to capture images and estimate the camera parameters from the correspondences between images and the checkerboard. The corner points in the checkerboard images are used as useful features for correspondence matching. Therefore, it is essential to precisely find the corner points in the checkerboard images. In many previous works, the corner points are extracted assuming that the checkerboard images are not distorted by its lens. Instead, image blurring and Gaussian noise on the images are usually considered, but other cases are not dealt with. However, the captured checkerboard images are often corrupted by lens distortions and compression artifacts, which leads to performance degradation of corner point extraction. Moreover, the corner points are extracted individually in the previous methods without considering their geometric relations. To better handle the corner point extraction problem under lens distortions, in our corner point extraction optimization, the distorted locations of the pixels on checkerboard images are corrected with the camera parameters, and the structural constraints for checkerboard image grids are then applied under the line-to-line mapping. Also, to robustly find the blurred edges between corner points due to JPEG compression, an edge surface model is newly proposed that models the transitions with over- and under-shoots around the blurred edges. Extensive experimental results show that our method significantly outperforms the state-of-the-art method with average 88.3% and 54.3% reduction in RMSE for corner point reprojection and camera parameter estimation, respectively under compression and lens distortions for synthetic and real data.
format	article
author	Seonghyeon Kang Seong Dae Kim Munchurl Kim
author_facet	Seonghyeon Kang Seong Dae Kim Munchurl Kim
author_sort	Seonghyeon Kang
title	Structural-Information-Based Robust Corner Point Extraction for Camera Calibration Under Lens Distortions and Compression Artifacts
title_short	Structural-Information-Based Robust Corner Point Extraction for Camera Calibration Under Lens Distortions and Compression Artifacts
title_full	Structural-Information-Based Robust Corner Point Extraction for Camera Calibration Under Lens Distortions and Compression Artifacts
title_fullStr	Structural-Information-Based Robust Corner Point Extraction for Camera Calibration Under Lens Distortions and Compression Artifacts
title_full_unstemmed	Structural-Information-Based Robust Corner Point Extraction for Camera Calibration Under Lens Distortions and Compression Artifacts
title_sort	structural-information-based robust corner point extraction for camera calibration under lens distortions and compression artifacts
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/7682384e0a98464b858ecfec8c243c24
work_keys_str_mv	AT seonghyeonkang structuralinformationbasedrobustcornerpointextractionforcameracalibrationunderlensdistortionsandcompressionartifacts AT seongdaekim structuralinformationbasedrobustcornerpointextractionforcameracalibrationunderlensdistortionsandcompressionartifacts AT munchurlkim structuralinformationbasedrobustcornerpointextractionforcameracalibrationunderlensdistortionsandcompressionartifacts
_version_	1718426056469250048

Structural-Information-Based Robust Corner Point Extraction for Camera Calibration Under Lens Distortions and Compression Artifacts

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