Vanishing Point Extraction and Refinement for Robust Camera Calibration

This paper describes a flexible camera calibration method using refined vanishing points without prior information. Vanishing points are estimated from human-made features like parallel lines and repeated patterns. With the vanishing points extracted from the three mutually orthogonal directions, th...

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Main Authors: Huan Chang, Fuan Tsai
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/18/1/63
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author Huan Chang
Fuan Tsai
author_facet Huan Chang
Fuan Tsai
author_sort Huan Chang
collection DOAJ
description This paper describes a flexible camera calibration method using refined vanishing points without prior information. Vanishing points are estimated from human-made features like parallel lines and repeated patterns. With the vanishing points extracted from the three mutually orthogonal directions, the interior and exterior orientation parameters can be further calculated using collinearity condition equations. A vanishing point refinement process is proposed to reduce the uncertainty caused by vanishing point localization errors. The fine-tuning algorithm is based on the divergence of grouped feature points projected onto the reference plane, minimizing the standard deviation of each of the grouped collinear points with an O(1) computational complexity. This paper also presents an automated vanishing point estimation approach based on the cascade Hough transform. The experiment results indicate that the vanishing point refinement process can significantly improve camera calibration parameters and the root mean square error (RMSE) of the constructed 3D model can be reduced by about 30%.
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spelling doaj.art-cd058b7300774c51b77f52c7cbcafce12022-12-22T02:54:20ZengMDPI AGSensors1424-82202017-12-011816310.3390/s18010063s18010063Vanishing Point Extraction and Refinement for Robust Camera CalibrationHuan Chang0Fuan Tsai1Department of Civil Engineering, National Central University, Taoyuan City 32001, TaiwanCenter for Space and Remote Sensing Research, National Central University, Taoyuan City 32001, TaiwanThis paper describes a flexible camera calibration method using refined vanishing points without prior information. Vanishing points are estimated from human-made features like parallel lines and repeated patterns. With the vanishing points extracted from the three mutually orthogonal directions, the interior and exterior orientation parameters can be further calculated using collinearity condition equations. A vanishing point refinement process is proposed to reduce the uncertainty caused by vanishing point localization errors. The fine-tuning algorithm is based on the divergence of grouped feature points projected onto the reference plane, minimizing the standard deviation of each of the grouped collinear points with an O(1) computational complexity. This paper also presents an automated vanishing point estimation approach based on the cascade Hough transform. The experiment results indicate that the vanishing point refinement process can significantly improve camera calibration parameters and the root mean square error (RMSE) of the constructed 3D model can be reduced by about 30%.https://www.mdpi.com/1424-8220/18/1/63vanishing pointscamera calibrationvisual geometrypose estimation
spellingShingle Huan Chang
Fuan Tsai
Vanishing Point Extraction and Refinement for Robust Camera Calibration
Sensors
vanishing points
camera calibration
visual geometry
pose estimation
title Vanishing Point Extraction and Refinement for Robust Camera Calibration
title_full Vanishing Point Extraction and Refinement for Robust Camera Calibration
title_fullStr Vanishing Point Extraction and Refinement for Robust Camera Calibration
title_full_unstemmed Vanishing Point Extraction and Refinement for Robust Camera Calibration
title_short Vanishing Point Extraction and Refinement for Robust Camera Calibration
title_sort vanishing point extraction and refinement for robust camera calibration
topic vanishing points
camera calibration
visual geometry
pose estimation
url https://www.mdpi.com/1424-8220/18/1/63
work_keys_str_mv AT huanchang vanishingpointextractionandrefinementforrobustcameracalibration
AT fuantsai vanishingpointextractionandrefinementforrobustcameracalibration