Model-Independent Lens Distortion Correction Based on Sub-Pixel Phase Encoding

Lens distortion can introduce deviations in visual measurement and positioning. The distortion can be minimized by optimizing the lens and selecting high-quality optical glass, but it cannot be completely eliminated. Most existing correction methods are based on accurate distortion models and stable...

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Autores principales:	Pengbo Xiong, Shaokai Wang, Weibo Wang, Qixin Ye, Shujiao Ye
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	camera calibration fringe pattern phase encoding model-independent method Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/d72a0a88691240d8995c57e5e2995ae0
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id	oai:doaj.org-article:d72a0a88691240d8995c57e5e2995ae0
record_format	dspace
spelling	oai:doaj.org-article:d72a0a88691240d8995c57e5e2995ae02021-11-25T18:56:41ZModel-Independent Lens Distortion Correction Based on Sub-Pixel Phase Encoding10.3390/s212274651424-8220https://doaj.org/article/d72a0a88691240d8995c57e5e2995ae02021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7465https://doaj.org/toc/1424-8220Lens distortion can introduce deviations in visual measurement and positioning. The distortion can be minimized by optimizing the lens and selecting high-quality optical glass, but it cannot be completely eliminated. Most existing correction methods are based on accurate distortion models and stable image characteristics. However, the distortion is usually a mixture of the radial distortion and the tangential distortion of the lens group, which makes it difficult for the mathematical model to accurately fit the non-uniform distortion. This paper proposes a new model-independent lens complex distortion correction method. Taking the horizontal and vertical stripe pattern as the calibration target, the sub-pixel value distribution visualizes the image distortion, and the correction parameters are directly obtained from the pixel distribution. A quantitative evaluation method suitable for model-independent methods is proposed. The method only calculates the error based on the characteristic points of the corrected picture itself. Experiments show that this method can accurately correct distortion with only 8 pictures, with an error of 0.39 pixels, which provides a simple method for complex lens distortion correction.Pengbo XiongShaokai WangWeibo WangQixin YeShujiao YeMDPI AGarticlecamera calibrationfringe patternphase encodingmodel-independent methodChemical technologyTP1-1185ENSensors, Vol 21, Iss 7465, p 7465 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	camera calibration fringe pattern phase encoding model-independent method Chemical technology TP1-1185
spellingShingle	camera calibration fringe pattern phase encoding model-independent method Chemical technology TP1-1185 Pengbo Xiong Shaokai Wang Weibo Wang Qixin Ye Shujiao Ye Model-Independent Lens Distortion Correction Based on Sub-Pixel Phase Encoding
description	Lens distortion can introduce deviations in visual measurement and positioning. The distortion can be minimized by optimizing the lens and selecting high-quality optical glass, but it cannot be completely eliminated. Most existing correction methods are based on accurate distortion models and stable image characteristics. However, the distortion is usually a mixture of the radial distortion and the tangential distortion of the lens group, which makes it difficult for the mathematical model to accurately fit the non-uniform distortion. This paper proposes a new model-independent lens complex distortion correction method. Taking the horizontal and vertical stripe pattern as the calibration target, the sub-pixel value distribution visualizes the image distortion, and the correction parameters are directly obtained from the pixel distribution. A quantitative evaluation method suitable for model-independent methods is proposed. The method only calculates the error based on the characteristic points of the corrected picture itself. Experiments show that this method can accurately correct distortion with only 8 pictures, with an error of 0.39 pixels, which provides a simple method for complex lens distortion correction.
format	article
author	Pengbo Xiong Shaokai Wang Weibo Wang Qixin Ye Shujiao Ye
author_facet	Pengbo Xiong Shaokai Wang Weibo Wang Qixin Ye Shujiao Ye
author_sort	Pengbo Xiong
title	Model-Independent Lens Distortion Correction Based on Sub-Pixel Phase Encoding
title_short	Model-Independent Lens Distortion Correction Based on Sub-Pixel Phase Encoding
title_full	Model-Independent Lens Distortion Correction Based on Sub-Pixel Phase Encoding
title_fullStr	Model-Independent Lens Distortion Correction Based on Sub-Pixel Phase Encoding
title_full_unstemmed	Model-Independent Lens Distortion Correction Based on Sub-Pixel Phase Encoding
title_sort	model-independent lens distortion correction based on sub-pixel phase encoding
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/d72a0a88691240d8995c57e5e2995ae0
work_keys_str_mv	AT pengboxiong modelindependentlensdistortioncorrectionbasedonsubpixelphaseencoding AT shaokaiwang modelindependentlensdistortioncorrectionbasedonsubpixelphaseencoding AT weibowang modelindependentlensdistortioncorrectionbasedonsubpixelphaseencoding AT qixinye modelindependentlensdistortioncorrectionbasedonsubpixelphaseencoding AT shujiaoye modelindependentlensdistortioncorrectionbasedonsubpixelphaseencoding
_version_	1718410556403089408

Model-Independent Lens Distortion Correction Based on Sub-Pixel Phase Encoding

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