摘要
针对室内空间火灾早期自动定位的需要,基于机器视觉技术对传统空间定位方法进行改进。设计简单实用的平面标定板进行摄像机标定,利用HALCON解决快速自动提取标定板上特征点像素坐标的问题。针对传统标定算法只校正径向畸变的不足,建立了更全面的摄像机畸变模型。通过迭代法利用成像模型和畸变模型求解并优化摄像机的单应性矩阵和畸变系数并通过三维重建实现空间定位。将此方法应用于消防炮工程项目,结果表明该改进方法具有有效性、快速性和准确性。
For the requirements of interior space fire early automatic positioning,the traditional positioning method is improved based on machine vision technology. A simple and practical plane calibration board is designed for camera calibration,and the problem of lastly and automatically extracting the pixel coordinates of the feature points on the calibration board is solved by using Halcon. For the limitation that the traditional method only considers radial distortion, a more comprehensive model of camera distortions is established. The homography matrix and distortion coefficient are got and optimized with imaging model and distortion model by iteration and space positioning is realized by three-dimensional reconstruction. The method has been applied in a fire gum project and the results suggest that the improved method is effective, fast and accurate.
出处
《重庆大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2012年第9期16-21,共6页
Journal of Chongqing University
基金
重庆市自然科学基金杰出青年基金项目(CSTC,2011JJJQ70001)
重庆市科技攻关计划项目(CSTC,2011AC3063)
关键词
立体视觉
标定
特征点自动提取
畸变模型
空间定位
stereo vision
calibration
automatic extraction of feature points
distortion model
space positioning
