基于视觉定位引导的相机偏移像素坐标矫正方法
Pixel Coordinate Correction for Camera Offsets Based on Visual Localization Guidance
涂钊 1钟剑锋 1魏崴 1池守疆 1刘东明 1郭贵勇 1钟舜聪1
作者信息
- 1. 福州大学机械工程及自动化学院福建省太赫兹功能器件与智能传感重点实验室,福建 福州 350108
- 折叠
摘要
针对机器视觉定位引导系统中外界因素导致eye-in-hand方案的相机细微偏移的问题,提出一种相机偏移像素坐标矫正方法.为消除相机偏移对初始标定参数的影响,基于针孔相机投影模型,建立相机偏移像素坐标估计模型;通过设计相机确认位划分图像区域,解析每个子区域中描述相机偏移模型的参数;以物体特征点偏移后像素坐标为已知条件,求解其偏移前像素坐标,以保证初始标定参数的有效性.实验结果表明,相机偏移像素坐标矫正方法能够有效修正螺栓通孔固定的相机偏移引起的像素坐标误差,修正误差在1 pixel以内.
Abstract
We propose a method for pixel coordinate correction to address subtle camera offsets in an eye-in-hand scheme caused by external factors in a machine-vision positioning guidance system.This method involves establishing a camera-offset pixel coordinate estimation model based on the pinhole camera projection model to eliminate the influence of camera offset on the initial calibration parameters.By dividing the image region into subregions and designing the camera confirmation bit,we analyze the parameters that describe the camera-offset model in each subregion.This allows for the determination of the object feature points'pixel coordinates prior to offset using the post-offset pixel coordinates as known conditions,thereby ensuring the validity of the initial calibration parameters.Experimental results demonstrate that our method can effectively correct the pixel coordinate offset errors induced by changes in the camera's fixation condition with a resolution of 1 pixel.
关键词
机器视觉/数字图像相关/相机偏移修正/像素Key words
machine vision/digital image correlation/camera offset correction/pixel引用本文复制引用
基金项目
国家自然科学基金(52275523)
国家自然科学基金(52275096)
福建省科技重大专项(2022HZ024005)
福建省产业技术开发与应用计划引导性项目(2021H0012)
福州市科技计划项目(2022-P-022)
福建省科技创新重点项目(2022G02030)
出版年
2024
NETL
NSTL
万方数据