3D Camera Calibration Using Gray Code Patterns

Hirooka, Shinichiro; Nakano, N.; Kazui, Masato

doi:10.1109/icce.2008.4587987

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…To our knowledge, Gray code is not used as a calibration pattern in combination with standard pinhole monocular camera calibration. The closest related work is the paper by Hirooka S. [6]. The work uses Gray code displayed on LCD screens to calibrate a stereo pair of cameras.…”

Section: Problem Statement and Introductionmentioning

confidence: 99%

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Camera Calibration Using Gray Code

Sels

Ribbens

Vanlanduit

et al. 2019

Sensors

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In order to determine camera parameters, a calibration procedure involving the camera recordings of a checkerboard is usually performed. In this paper, we propose an alternative approach that uses Gray-code patterns displayed on an LCD screen. Gray-code patterns allow us to decode 3D location information of points of the LCD screen at every pixel in the camera image. This is in contrast to checkerboard patterns where the number of corresponding locations is limited to the number of checkerboard corners. We show that, for the case of a UEye CMOS camera, the precision of focal-length estimation is 1.5 times more precise than when using a standard calibration with a checkerboard pattern.

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Section: Problem Statement and Introductionmentioning

confidence: 99%

“…The work uses Gray code displayed on LCD screens to calibrate a stereo pair of cameras. In contrast to the paper of Hirooka S. [6], this work focuses on monocular calibration. Additionally, we analyze the precision of the calibration and compare it to standard checkerboards displayed on an LCD screen.…”

Section: Problem Statement and Introductionmentioning

confidence: 99%

Camera Calibration Using Gray Code

Sels

Ribbens

Vanlanduit

et al. 2019

Sensors

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The Projector Calibration Based on ZHANG’s Self-Calibration Method

Bao

Yang

et al. 2014

AMR

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Projector calibration can be seen as a special case of the camera calibration. It can establish the relationship of the three dimensional space coordinates for points and projector image coordinates for points DMD by using a projector to project coding pattern. In camera calibration, ZHANG’s self-calibration was conducted in the maximum likelihood linear refinement. Operation process takes the lens distortion factors into account finding out the camera internal and external parameters finally. Using this algorithm to the projector calibration can solve the traditional linear calibration algorithm which is complex and poor robustness. Otherwise, it can improve the practicability of calibration method. This method can both calibrate the internal and external parameters of projector, which can solve the problem of independently inside or outside calibration.

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3D Camera Calibration Using Gray Code Patterns

Cited by 2 publications

References 4 publications

Camera Calibration Using Gray Code

Camera Calibration Using Gray Code

The Projector Calibration Based on ZHANG’s Self-Calibration Method

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