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Plane type camera calibration method

A camera calibration and planar technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as low-level, complex stability, and large amount of calculation

Active Publication Date: 2014-06-11
HUAZHONG UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

This type of polynomial-based plane calibration algorithm has high precision, but the process of least-squares fitting of high-order polynomials involves the inversion of high-order matrices (taking binary quintic polynomials as an example, the corresponding inversion matrix is ​​21-order ), which also leads to a relatively large amount of calculation for such methods, and this algorithm is complex to implement and relatively low in stability

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Embodiment Construction

[0042] The core idea of ​​the plane calibration algorithm based on subdivision triangle interpolation proposed by the present invention is to use the calibration feature point set to effectively subdivide the triangle segmentation calibration image to perform linear interpolation calculation in the local area to complete the camera calibration, thus replacing the traditional method. A task that can only be accomplished by fitting calculations of bivariate high-degree polynomials.

[0043] The effective Delaunay subdivision triangles of the feature point set are filled and evenly distributed on the entire scale of the calibration image, and the influence of the overall image distortion on the local area of ​​each subdivision triangle is negligible (local distortion resistance). These two properties provide a method for camera calibration based on plane feature size measurement: estimate the position of all calibration feature points on the image before deformation, and calculate...

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Abstract

The invention discloses a plane type camera calibration method, comprising steps of estimating positions of characteristic points on an image before deformation and calculating interpolation relation between the pixel point in the image and the subdivision triangle peak where the pixel point is positioned, utilizing the pixel coordinate of the deformed characteristic point to calculate the corresponding position of each pixel point of the image before deformation on the deformed image according to the interpolation relation, and utilizing the pixel value interpolation of the deformed pixel points adjacent to the corresponding position to calculate to obtain the image pixel value to finish the image correction. The invention utilizes the local linear inner interpolation to replace the polynomial fitting which is finished by higher order matrix inverse. Compared with the prior art, the invention has lower calculation complexity, higher stability and higher deformation resistance on the premise that the image correction effect and the calibration calculation accuracy are guaranteed.

Description

technical field [0001] The invention belongs to the field of machine vision and relates to a camera calibration method used for plane feature measurement and positioning. Background technique [0002] Due to the advantages of non-contact, high precision, and no damage, visual measurement technology has been widely used in IC packaging equipment such as RFID label packaging machines, chip loading machines, dicing machines, and wire bonding machines. Since the measurement objects on this type of equipment are mostly plane distances and angles and do not need to obtain the internal and external parameters of the camera, only one pair of calibration target images is used for calibration calculations to correct various linear and nonlinear image deformations and obtain the captured plane image The conversion relationship between coordinates and world coordinates. [0003] The current mainstream camera calibration methods are based on three-dimensional positioning and measurement...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 李文龙徐侃尹周平王瑜辉尹程龙
Owner HUAZHONG UNIV OF SCI & TECH
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