The Comparison of Camera Calibration Methods Based on Structured-Light Measurement

Feng, Xiuxia; Cao, Maoyong; Wang, Haixia; Collier, M. R.

doi:10.1109/cisp.2008.163

Cited by 9 publications

(5 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our approach is in contrast to evaluations of generic camera calibration methods based upon image measurements, such as [6], [25], where the primary focus is upon recovering internal camera parameters of fixed-focal length cameras. Other researchers [4], [9], [16] compare generic calibration techniques using sophisticated equipment such as laser range finders or structured light systems. Such equipment would be difficult to apply in the application considered due to the dynamic nature of the scene and the outdoor illumination levels.…”

Section: A Simulationsmentioning

confidence: 99%

A Taxonomy and Analysis of Camera Calibration Methods for Traffic Monitoring Applications

Kanhere

Birchfield

2010

IEEE Trans. Intell. Transport. Syst.

View full text Add to dashboard Cite

Abstract-Many vision-based automatic traffic monitoring systems require a calibrated camera for computing speeds and length-based classifications of tracked vehicles. A number of techniques, both manual and automatic, have been proposed for performing such calibration, but no study has yet focused upon evaluating the relative strengths of these different alternatives. We present a taxonomy for roadside camera calibration that not only encompasses the existing methods (VVW, VWH, and VWL) but also includes several novel ones as well (VVH, VVL, VLH, VVD, VWD, and VHD). We also introduce an overconstrained approach that takes into account all the available measurements, resulting in reduced error as well as overcoming the inherent ambiguity in the single-vanishing-point solutions. This important but oft-neglected ambiguity has not received the attention that it deserves; we analyze it and propose several ways of overcoming it. Our analysis includes the relative tradeoffs between twovanishing-point solutions, single-vanishing-point solutions, and solutions that require the distance to the road to be known. The various methods are compared using simulations and experiments with real images, showing that methods that use a known length generally outperform the others in terms of error, and that the overconstrained method reduces errors even further.

show abstract

Section: A Simulationsmentioning

confidence: 99%

A Taxonomy and Analysis of Camera Calibration Methods for Traffic Monitoring Applications

Kanhere

Birchfield

2010

IEEE Trans. Intell. Transport. Syst.

View full text Add to dashboard Cite

show abstract

“…Feng et al [2] analysed both algorithms from both a mathematical standpoint and then experimentally using laser beams in order to establish the quality of each algorithm. In their conclusion, they note that one disadvantage of Tsai's calibration is that it does not determine the true optical centre from calibration.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Zhang's calibration uses a pinhole camera model and a set of planar images (recommended to be more than 3, but Zhang's paper shows that at least 11 are required to get sub-pixel performance) to derive a calibration result. Zhang's technique is respected for its flexibility and robustness in several studies [2,9]. Zhang's calibration is also a basis for the calibration module within the popular OpenCV SDK [1] 1 .…”

Section: Introductionmentioning

confidence: 99%

A practical comparison between Zhang's and Tsai's calibration approaches

Gee

Friedrich

et al. 2014

Proceedings of the 29th International Conference on Image and Vision Computing New Zealand

View full text Add to dashboard Cite

With the rise of affordable processing power and off-theshelf apparatus supporting 3D imaging, there is a growing need for reliable and fast calibration tools, enabling timely accurate data gathering. When confronted with a choice of camera calibration tools, Zhang's and Tsai's are not only the most cited, but also the most widely available solutions. Zhang's calibration is often chosen by default, based on the assumption that it is more accurate. However, it typically involves extensive manual data gathering when compared to the Tsai approach. Here, we demonstrate that there is no significant accuracy gain between Tsai's or Zhang's approach in terms of stereo matching, given the variety of readily available 3D devices tested. Further to this, the trade-off between measurement accuracy compared to setup and data acquisition time is decisively in favour of Tsai. This paper also covers a new algorithm for the extraction of points from images of checkboards attached to calibration objects.

show abstract

“…The most widely used method for camera calibration is the one proposed by Zhang [ 6 ], due to its ease of application, efficiency and robustness [ 25 , 26 ]. In this method, 2 to 5 images of different poses of a planar checkerboard are required to determine the interior orientation of the camera [ 27 ].…”

Section: Introductionmentioning

confidence: 99%

Novel Bayesian Inference-Based Approach for the Uncertainty Characterization of Zhang’s Camera Calibration Method

Gutiérrez-Moizant,

Boada,

Ramírez-Berasategui

et al. 2023

Sensors

View full text Add to dashboard Cite

Camera calibration is necessary for many machine vision applications. The calibration methods are based on linear or non-linear optimization techniques that aim to find the best estimate of the camera parameters. One of the most commonly used methods in computer vision for the calibration of intrinsic camera parameters and lens distortion (interior orientation) is Zhang’s method. Additionally, the uncertainty of the camera parameters is normally estimated by assuming that their variability can be explained by the images of the different poses of a checkerboard. However, the degree of reliability for both the best parameter values and their associated uncertainties has not yet been verified. Inaccurate estimates of intrinsic and extrinsic parameters during camera calibration may introduce additional biases in post-processing. This is why we propose a novel Bayesian inference-based approach that has allowed us to evaluate the degree of certainty of Zhang’s camera calibration procedure. For this purpose, the a prioriprobability was assumed to be the one estimated by Zhang, and the intrinsic parameters were recalibrated by Bayesian inversion. The uncertainty of the intrinsic parameters was found to differ from the ones estimated with Zhang’s method. However, the major source of inaccuracy is caused by the procedure for calculating the extrinsic parameters. The procedure used in the novel Bayesian inference-based approach significantly improves the reliability of the predictions of the image points, as it optimizes the extrinsic parameters.

show abstract

The Comparison of Camera Calibration Methods Based on Structured-Light Measurement

Cited by 9 publications

References 7 publications

A Taxonomy and Analysis of Camera Calibration Methods for Traffic Monitoring Applications

A Taxonomy and Analysis of Camera Calibration Methods for Traffic Monitoring Applications

A practical comparison between Zhang's and Tsai's calibration approaches

Novel Bayesian Inference-Based Approach for the Uncertainty Characterization of Zhang’s Camera Calibration Method

Contact Info

Product

Resources

About