摘要
随着建筑工地规模的增加,及时了解工地的状态变得越来越困难。无人机技术的发展,在短时间内可以收集到大量建筑工地的图像数据。利用这些数据,可以实时、有效地通过视觉技术监测大型建筑工地。论文提出了一种采用过滤模糊帧,选择关键帧,修正摄像机镜头畸变策略,对施工现场全景图进行图像拼接。用该方法得到高质量的完整全景图,有助识别各种施工现场环境。
As the scale of construction sites increases,it's becoming more and more difficult to understand the status of construction sites timely. Thanks to the development of Unmanned Aerial Vehicle technology,a large number of image data of construction sites can be collected in a short time. Utilizing these data,large-scale construction sites can be monitored effectively using computer vision technology in real time. In this paper,a method of image stitching for panorama of construction site is proposed,which adopts the strategy of filtering fuzzy frame,selecting key frame and correcting camera lens distortion. This method produces a complete panorama of high quality,which helps to identify various construction site environments in the context of high-quality image data.
作者
孙光灵
朱庆生
李茜茹
SUN Guang-ling;ZHU Qing-sheng;LI Qian-ru(Information & Network Center,Anhui Jianzhu University,Hefei Anhui 230601)
出处
《巢湖学院学报》
2019年第3期40-46,共7页
Journal of Chaohu University
基金
安徽建筑大学硕博基金(项目编号：JY16-3-241)
安徽建筑大学产学研项目(合同号：AJ-CXY-KF-18-15)
安徽建筑大学开放实验室项目(项目编号：2017kf10)
