摘要
提出了一种基于铁路环境视频的全景图自动拼接算法。根据铁路环境视频中的场景几何特性,检测场景中的线段及消失点,从而生成场景的空间布局关系;在此基础上,自动构建合适的采样区域,以达到无缝拼接的效果;最后实现全景图的自动拼接。实验结果表明,该方法实现了铁路环境视频的自动化拼接,且得到了更加令人满意的拼接效果。
This paper presents an automatic panoramic image stitching algorithm based on high speed railway forwardmotion video.According to the scene geometry properties of high speed railway in video,the algorithm firstly detects linesegments and the vanishing point.And then,the appropriate sampling area is automatically constructed to achieve seamlessstitching.Finally,automatic panorama stitching is realized.The experimental results show that the algorithm is fasterand more accurate by comparing with the manual method to determine the sampling area.
作者
蒋欣兰
JIANG Xinlan(Computer Science & Application Center, China Youth University of Political Studies, Beijing 100089, China)
出处
《计算机工程与应用》
CSCD
北大核心
2017年第7期206-211,共6页
Computer Engineering and Applications
基金
中国青年政治学院学术创新支持计划校级项目(No.189070649)
2016年北京市大学生科学研究与创业行动计划项目(No.504170256)
关键词
全景图
消失点
图像拼接
线段检测
铁路环境
panorama
vanishing point
image stitching
line segments detection
railway environment