Next Article in Journal
Background Registration-Based Adaptive Noise Filtering of LWIR/MWIR Imaging Sensors for UAV Applications
Previous Article in Journal
Mixed H2/H-Based Fusion Estimation for Energy-Limited Multi-Sensors in Wearable Body Networks
 
 
Article

Vanishing Point Extraction and Refinement for Robust Camera Calibration

by 1 and 2,*
1
Department of Civil Engineering, National Central University, Taoyuan City 32001, Taiwan
2
Center for Space and Remote Sensing Research, National Central University, Taoyuan City 32001, Taiwan
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(1), 63; https://doi.org/10.3390/s18010063
Received: 5 October 2017 / Revised: 20 November 2017 / Accepted: 19 December 2017 / Published: 27 December 2017
(This article belongs to the Section Remote Sensors)
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%. View Full-Text
Keywords: vanishing points; camera calibration; visual geometry; pose estimation vanishing points; camera calibration; visual geometry; pose estimation
Show Figures

Figure 1

MDPI and ACS Style

Chang, H.; Tsai, F. Vanishing Point Extraction and Refinement for Robust Camera Calibration. Sensors 2018, 18, 63. https://doi.org/10.3390/s18010063

AMA Style

Chang H, Tsai F. Vanishing Point Extraction and Refinement for Robust Camera Calibration. Sensors. 2018; 18(1):63. https://doi.org/10.3390/s18010063

Chicago/Turabian Style

Chang, Huan, and Fuan Tsai. 2018. "Vanishing Point Extraction and Refinement for Robust Camera Calibration" Sensors 18, no. 1: 63. https://doi.org/10.3390/s18010063

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop