视频监控中运动图像序列三维重建Three-dimensional reconstruction of moving image sequence in video surveillance
胡红权
摘要(Abstract)：
视频监控中运动图像序列三维重建一直是三维重建研究的重点,其重建效果会对运动图像的清晰度产生影响。但当前三维重建方法都是通过获取二维视频监控中的运动图像序列,通过基于Java Applet与Java Application编程,采用体绘制法完成视频监控中二维运动图像序列的三维重建,该方法无法保证重建后的图像质量,导致图像清晰度不高。为此,提出基于图像特征点提取与匹配的视频监控中运动图像序列三维重建方法。首先,对视频监控中运动图像序列特征点进行检测,并对特征点一定邻域内图像的纹理、结构以及其他特征进行统计,通过对运动图像序列特征点的特征比较,完成运动图像序列特征点提取与匹配;然后,对视频监控中运动图像序列的结构和运动初始化,并进行视频监控相机的自标定,实现对视频监控中运动图像序列的三维重建。实验结果表明,所提方法能够有效提高三维重建后视频监控中运动图像序列的清晰度,减少三维重建流程,提高运动图像序列重建效率,具有良好的使用价值。
关键词(KeyWords)： 视频监控;清晰度;特征点;匹配;运动图像序列;三维重建
基金项目(Foundation):
作者(Author): 胡红权
DOI: 10.16652/j.issn.1004-373x.2018.03.016
参考文献(References)：
- [1]高欣健,张旭东,高亚捷,等.基于单幅灰度图像的快速三维重建方法研究[J].机械工程学报,2014,50(2):42-47.GAO Xinjian,ZHANG Xudong,GAO Yajie,et al.Fast method of 3D surface reconstruction based on single gray image[J].Journal of mechanical engineering,2014,50(2):42-47.
- [2]赵春宇,孙伟,陈许蒙.微惯性传感器加速的序列图像三维重建方法[J].光学精密工程,2016,24(10):559-566.ZHAO Chunyu,SUN Wei,CHEN Xumeng.3D reconstruction of sequence images accelerated by micro inertial sensors[J].Optics and precision engineering,2016,24(10):559-566.
- [3]罗宇,宋歌,杨红雨.基于图像识别的建筑物三维重建[J].计算机工程与设计,2015,36(1):191-196.LUO Yu,SONG Ge,YANG Hongyu.3-D rebuilding based on recognition of image[J].Computer engineering and design,2015,36(1):191-196.
- [4]魏楚亮,罗培羽,洪晓斌,等.基于单张照片模式的三维图像重建新方法研究[J].中国测试,2014,40(2):23-26.WEI Chuliang,LUO Peiyu,HONG Xiaobin,et al.Research on a new method of 3D image reconstruction based on single photo mode[J].China measurement&test,2014,40(2):23-26.
- [5]张丹,吕学强,肖诗斌,等.基于轮廓线法的汽车类外观专利图像三维重建[J].计算机应用与软件,2015,32(4):170-174.ZHANG Dan,LüXueqiang,XIAO Shibin,et al.3D reconstruction of automobile design patent images based on contour algorithm[J].Computer applications and software,2015,32(4):170-174.
- [6]丁伟利,陈瑜,马鹏程,等.基于阵列图像的自适应光场三维重建算法研究[J].仪器仪表学报,2016,37(9):2156-2165.DING Weili,CHEN Yu,MA Pengcheng,et al.Study on adaptive light field 3D reconstruction algorithm based on array image[J].Chinese journal of scientific instrument,2016,37(9):2156-2165.
- [7]张聪炫,陈震,黎明.单目图像序列光流三维重建技术研究综述[J].电子学报,2016,44(12):3044-3052.ZHANG Congxuan,CHEN Zhen,LI Ming.Review of the 3D reconstruction technology based on optical flow of monocular image sequence[J].Acta electronica sinica,2016,44(12):3044-3052.
- [8]沈振一,孙韶媛,赵海涛.基于PP-MRF模型的单目车载红外图像三维重建[J].东华大学学报(自然科学版),2015,41(3):341-347.SHEN Zhenyi,SUN Shaoyuan,ZHAO Haitao.Three-dimensional reconstruction from monocular vehicular infrared images based on PP-MRF model[J].Journal of Donghua University(natural science edition),2015,41(3):341-347.
- [9]于春和,祁乐阳.基于HALCON的双目摄像机标定[J].电子设计工程,2017,25(19):190-193.YU Chunhe,QI Leyang.Binocular camera based on HALCON[J].Electronic design engineering,2017,25(19):190-193.
- [10]隋巧燕,董洪伟,刘蕾.双目下点云的三维人脸重建[J].现代电子技术,2015,38(4):102-105.SUI Qiaoyan,DONG Hongwei,LIU Lei.3-D point cloud face reconstruction with binocular system[J].Modern electronics technique,2015,38(4):102-105.