The location and identification of concentric circles in automatic camera calibration

Chen, Xinyu; Hu, Ying; Ma, Zi; Yu, Shuanghe; Chen, Yuqing

doi:10.1016/j.optlastec.2013.05.029

Cited by 27 publications

(11 citation statements)

References 12 publications

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“…The exact section diameter information of the current position can be obtained through image processing. 11 The axial displacement information can be measured by the circular grading mount at the axial displacement drive device. The static parameters such as volume, inflection point, taper and length of chamber can all be calculated through processing the axial displacement and diameter.…”

Section: Structure Of the Measurement Section For Vision Readingmentioning

confidence: 99%

Measurement principle and precision analysis of chamber parameters on images

Wang

Yao

Chen

2016

Advances in Mechanical Engineering

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A new kind of measuring principle of reading data across the diameter of a target image is proposed for high-accuracy measurements of artillery-chamber parameters. A new kind of ruler target mechanism is designed to read the crossdiameter data. The ruler target mechanism is pushed into the chamber by a driver mechanism. It moves along the axis of the chamber, and the sequence images are collected. The radial displacement of the cross-measurement claw can be obtained by processing the change of inscribed lines on the ruler target, and the current diameter, volume and conical degree of the chamber can all be acquired by referring to the demarcating annulus size. Measurement precision is analysed based on error propagation theory, with the diameter and volume parameters as examples. According to this principle, the measurement prototype is designed, and experiments are conducted on it. We show that the measurement error of the diameter is no more than 10 mm, and the volume error of the artillery chamber is less than 2&, which satisfies the practical engineering requirement.

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Section: Structure Of the Measurement Section For Vision Readingmentioning

confidence: 99%

Measurement principle and precision analysis of chamber parameters on images

Wang

Yao

Chen

2016

Advances in Mechanical Engineering

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“…Literature [16] mentioned in concentric circles as the goal, the use of concentric circles for solving linear infinity, thus solving the exact center position, but two simultaneous quadratic curves does not intersect to solve infinite straight line, increasing the amount and complexity of computing solving; Kim et al derived an improved method in literature [17] to find the position of the imaged centers by rank 1 constraint without radii information, but the algorithm was complex. The approach [18] presented by Heikkila utilized an iterative procedure to correct the imaged center of a circle, which is very useful for camera calibration; however, the priori conditions of knowing camera's parameters also narrow down its applications in other fields.…”

Section: Page 3 Of 19mentioning

confidence: 99%

The circular mark projection error compensation in camera calibration

Cui

Huo

Yang

2015

Optik

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“…From equation (19), we can get the method of computing the rotation angle b. We should know the values of five parameters: l, h, r, f 0 and R h .…”

Section: Determination Of Rotation Anglementioning

confidence: 99%

“…Circular features were also reported to have been used in camera calibration. [17][18][19] Circular features can also be used to compute the parameters of the head's rotation and translation in human face pose estimation. 20 The motion of a rigid body can be divided into two types: translation and rotation.…”

Section: Introductionmentioning

confidence: 99%

A novel image analysis method for rotational motion of circular feature based on perspective projection

Liu

Zhao

2015

The Imaging Science Journal

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Circular feature has been widely applied in recognising moving object and estimating its position and orientation. Based on the principle of perspective projection, the rotational motion of circular feature was analysed. According to whether the rotational motion occurred in the plane of circular feature, the rotational motion could be classified into two types: in-plane rotation and non-in-plane rotation. For the convenience of computation, we set the camera's initial position and orientation. The optical axis of camera was set perpendicular to the plane of circular feature. We analysed the perspective distortion of the circular feature. Additionally, based on the geometrical reasoning, we also proposed the method of computing the rotation angles. Finally, some experiments were carried to verify correctness and feasibility of the computing method. The results showed that the measurement of rotation angle could achieve better performance though the error existed. The maximum value of errors was only 0?4u. The average errors and the standard deviations of errors were also small.

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The location and identification of concentric circles in automatic camera calibration

Cited by 27 publications

References 12 publications

Measurement principle and precision analysis of chamber parameters on images

Measurement principle and precision analysis of chamber parameters on images

The circular mark projection error compensation in camera calibration

A novel image analysis method for rotational motion of circular feature based on perspective projection

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