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Method for correcting wide-angle camera lens distortion of automatic teller machine (ATM)

An ATM machine and lens distortion technology, applied in the field of image processing, can solve the problems of difficulty in converging the global optimal solution with optimal parameters, difficulty in improving image correction accuracy, and too large search space.

Inactive Publication Date: 2011-05-25
WUHAN UNIV
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Problems solved by technology

However, the algorithm does not constrain the search space of parameters during the optimization process. If the search space is too large, it is difficult for the optimal parameters to converge to the global optimal solution, and it is difficult to improve the accuracy of image correction.

Method used

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  • Method for correcting wide-angle camera lens distortion of automatic teller machine (ATM)
  • Method for correcting wide-angle camera lens distortion of automatic teller machine (ATM)
  • Method for correcting wide-angle camera lens distortion of automatic teller machine (ATM)

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Embodiment Construction

[0038] ATM machine wide-angle camera lens distortion correction method provided by the invention, such as figure 1 shown, including the following steps:

[0039] 1. Establish a lens calibration parameter library for different models of ATM machines from different manufacturers:

[0040] In this step, according to the camera calibration method based on moving plane template proposed by Zhang Zhengyou of Microsoft Research Institute in Document 3, the lens correction parameters of wide-angle cameras of different models of ATMs from different manufacturers can be obtained. These parameters include the lateral distortion parameter k 1 , Longitudinal distortion parameter k2 , Lateral distortion center u 0 and longitudinal distortion center v 0 , according to different manufacturers and different models of ATM machine wide-angle camera lens distortion correction parameters to build the database:

[0041] 1≤s≤S, there are a total of S groups of parameters, each group of paramete...

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Abstract

The invention relates to the technical field of image processing, in particular relating to a method for correcting wide-angle camera lens distortion of an automatic teller machine (ATM). The method comprises the following steps: establishing a database in accordance with correction parameters for the wide-angle camera lens distortions of ATMs of different types from different manufacturers; shooting a wide-angle image in a scene containing a plurality of straight lines; manually extracting curves in the image; determining a group of optimal correction parameters for the wide-angle camera lens of the ATM; and correcting the wide-angle image in accordance with the optimal parameters. By utilizing the method provided by the invention, the optimal correction parameters can be acquired fast and accurately, and the wide-angle lens images can be accurately corrected based on the optimal parameters.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for correcting lens distortion of an ATM wide-angle camera. Background technique [0002] Image correction technology can establish a corresponding mathematical model according to the cause of image distortion, extract the required information from the distorted image signal, and restore the original undistorted image by solving the inverse process of image distortion. Wide-angle lens distortion image correction technology can effectively restore the distortion information of distorted images in surveillance videos, improve the accuracy of key clues in surveillance images such as faces, which can improve the in-depth application capabilities of criminal investigation images, thereby improving the detection rate of public security departments and maintaining public security. Security matters. [0003] Among the existing methods, the method based on the calibrati...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N17/00G06T7/00
Inventor 胡瑞敏江俊君韩镇卢涛兰诚栋黄克斌张春景
Owner WUHAN UNIV
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