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A Method and System for Solving Camera Internal Parameters Based on Absolute Quadratic Surface

A quadratic surface and camera technology, applied in image analysis, instruments, complex mathematical operations, etc., can solve problems such as inaccurate self-calibration results, incorrect optimization scheme selection, unstable equation solution, etc., to reduce the preparation time in the early stage , require flexibility and convenience, and improve work efficiency

Active Publication Date: 2021-09-21
CHENGDU SOBEY DIGITAL TECH CO LTD
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Problems solved by technology

[0006] The purpose of the present invention is: in order to solve the problem that the existing camera self-calibration method has few constraints available, the solution of the equation is unstable, and the selection of the optimization scheme is incorrect, resulting in inaccurate self-calibration results. The present invention provides a method based on absolute binary Method and system for solving camera internal parameters of subsurface, based on absolute quadratic surface A linear self-calibration method for solving, by limiting the scope of the feasible region, for absolute quadratic surfaces Perform inequality constraints, so that the absolute quadratic surface matrix is ​​semi-positive definite, and finally decompose the internal parameter matrix with non-negative focal length values ​​to obtain accurate internal parameter values

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  • A Method and System for Solving Camera Internal Parameters Based on Absolute Quadratic Surface
  • A Method and System for Solving Camera Internal Parameters Based on Absolute Quadratic Surface

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Embodiment 1

[0076] Such as figure 1 As shown, this embodiment provides a method for solving camera internal parameters based on an absolute quadric surface, including the following steps:

[0077] S1: Since the feature points have good scale, rotation and illumination invariance, etc., the SIFT descriptor extraction is used to extract such as figure 2 The feature pixels of the two-dimensional image of the video sequence shown, the feature pixels are converted into corresponding feature vectors and feature index values;

[0078] S2: if image 3 As shown, based on the feature index value, the brute force matching algorithm is used to match the corresponding frame of the feature vector to obtain an initial matching data, and then the Ransac algorithm is used to eliminate the wrongly matched data, and several matching frames that are correctly matched are obtained. The feature index value here is used as Computational data input for matching distances;

[0079] S3: After the matching rela...

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Abstract

The invention discloses a method and system for solving internal parameters of a camera based on an absolute quadratic surface, and relates to the technical field of camera calibration. The invention includes extracting feature pixels using SIFT descriptors and converting them into corresponding feature vectors; using a violent matching algorithm Match the corresponding frames of the eigenvectors; calculate the fundamental matrix and poles between the matching frames through the eight-point algorithm, and obtain the projection matrix P; based on the projection matrix P and the constrained internal reference matrix K, obtain the absolute quadratic surface to the absolute Mandatory constraints are imposed on the quadratic surface to make it semi-positive definite, and the parameter values ​​of the absolute quadratic surface matrix are obtained; the energy function E is used to optimize the parameter values ​​of the absolute quadratic surface matrix. Optimal solution, the present invention reduces the difficulty of solving and improves the accuracy of self-calibration results by adding reliable constraints.

Description

technical field [0001] The present invention relates to the technical field of camera calibration, and more specifically relates to a method and system for solving internal parameters of a camera based on an absolute quadric surface. 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. Before computer image processing, the most important work is to determine the parameters of the camera, whether the calibration of camera parameters is accurate will directly affect the accuracy and precision of image processing. [0003] Camera calibration plays an important role in computer vision. It is the key technology for linking two-dimensional digital images and reconstructing three-dimensional space. The accuracy of camera calibration resul...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/80G06F17/16
CPCG06F17/16G06T7/80
Inventor 袁霞何金龙罗天
Owner CHENGDU SOBEY DIGITAL TECH CO LTD
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