Camera self-calibration method based on absolute quadratic curve image

A quadratic curve and self-calibration technology, which is applied in image analysis, image data processing, instruments, etc., can solve problems such as calibrating camera parameters, and achieve the effects of improving accuracy, wide practicability, and reducing the impact of data

Active Publication Date: 2018-12-21
BEIHANG UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

However, in the existing technology, it is impossible to quickly and accurately calibrate the camera parameters when the camera parameters are unknown.

Method used

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  • Camera self-calibration method based on absolute quadratic curve image
  • Camera self-calibration method based on absolute quadratic curve image
  • Camera self-calibration method based on absolute quadratic curve image

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Embodiment

[0162] Examples used in the present invention are Figure 7 and Figure 8 As shown, fix a GoPro HERO 6 digital camera on a tripod, adjust the position of the camera by adjusting the tripod or the joystick to shoot the target. The resolution of the digital camera is: 4000 pixels × 3000 pixels.

[0163] (1) Comparison of camera internal parameter calibration results

[0164] In the present invention, firstly, a checkerboard is used to calibrate the internal parameters of the camera, and the result is used as a benchmark for comparison. The tool used is the Bouguet camera calibration toolbox in Matlab. The spacing between the checkerboards used was 25mm. In order to improve the accuracy of the internal parameters of the camera with the target calibration and reduce the influence of random factors on the calibration results, the following measures are adopted: 1. Place the tripods in different positions and take multiple groups of photos at different angles to ensure that the t...

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PUM

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Abstract

The invention discloses a camera self-calibration method based on an absolute conic image, belonging to the technical field of image processing and camera calibration. The method comprises the following steps: extracting feature points and feature lines, calculating images of vanishing points, vanishing lines and imaginary circles; according to the image of the vanishing point and the imaginary circle, the image of the absolute quadratic curve is calculated and the intrinsic parameter matrix of the camera is obtained. The rotation matrix is calculated by using the orthogonal property of the rotation matrix, and the translation vector is calculated by using the position of the camera center in the world coordinate system. The Euler angle of the camera is calculated by comparing the erasingline calculated by perspective projection model with the erasing line obtained by fitting the erasing points. Normalization algorithm is used to solve the basic matrix, determine the constraint relationship between different images, and complete camera self-calibration. The invention has the advantages of designing a new target, which is simple, convenient and practical to calibrate, has wide practicability, improves the accuracy of data processing, and reduces the influence of coordinate transformation on data.

Description

technical field [0001] The invention belongs to the technical field of image processing and camera calibration, and in particular relates to a camera self-calibration method based on an absolute quadratic image. Background technique [0002] In recent years, with the development of artificial intelligence research, computer vision (such as visual navigation SLAM, 3D reconstruction, augmented reality, etc.), as one of the key technologies of artificial intelligence, has also received more and more attention. Now there are more and more technicians studying computer vision, and the research is getting deeper and deeper, and the application of computer vision in daily life is becoming more and more extensive. Before computer image processing, the most important work is to determine the parameters of the camera, including the internal parameters and external parameters of the camera. The accuracy of camera parameter calibration will directly affect the accuracy and precision of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/80
CPCG06T7/80
Inventor 吴森堂刘文磊
Owner BEIHANG UNIV
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