多站全景图像犯罪现场三维模型纹理生成方法研究  

Texture Generation Method of Three Dimensional Model of Crime Scene Based On Multi Panoramic Images

作　　者：刘猛[1] 申思[1] 段动宾 姚文英 Liu Meng;Shen Si;Duan Dongbin;Yao Wenying(Department of Criminal Science and Technology,Zhejiang Police College,Hangzhou 310053,Zhejiang,China;Zhejiang Angelcomm Technology Co.,Ltd.,Hangzhou 310008,Zhejiang,China)

机构地区：[1]浙江警察学院刑事科学技术系,浙江杭州310053 [2]浙江安正科技股份有限公司,浙江杭州310008

出　　处：《激光与光电子学进展》2022年第16期279-286,共8页Laser & Optoelectronics Progress

基　　金：全国教育信息技术研究课题(186140083);浙江省高等教育“十三五”第一批教学改革研究项目(jg20180381);浙江省教育科学规划2021年度一般规划课题(高校)(2021SCG281)。

摘　　要：针对三维模型传统顶点着色渲染方法存在数据体量大、渲染效果差等问题,提出了一种利用点云与多站全景图像空间融合技术生成清晰纹理图像的方法。首先计算全景纹理像素点对应的空间映射点到全景球中心的遮挡;其次进行纹理图像素点通视情况下多站全景的空间颜色域反距离加权融合;然后对纹理图像空白区域进行反距离加权填充,生成清晰纹理图像;最后采集全景图像和激光点云作为数据源,进行生成纹理图像实验。实验结果表明:所提方法经过并行设计,实现了多站全景图像到高清纹理图像的快速生成;相比传统顶点着色方法,视觉效果更加真实,更加清晰,提升了犯罪现场三维模型可视化效果。To solve the problems of considerable data volume and poor rendering effect in the traditional vertex shading rendering method of three-dimensional(3D)mesh,this study proposes a method to generate clear texture images using the fusion technology of point cloud and multiple-station panoramic images.First,the occlusion from the spatial mapping point of the panoramic texture pixel to the center of the panoramic sphere was calculated.Subsequently,the spatial color domain inverse distance weighted fusion of multiple-station panorama was conducted under texture image pixel point visibility.Additionally,the texture image blank area neighborhood weighted filling was conducted to generate a clear texture image.Finally,panoramic images and laser point clouds were collected as data sources to generate texture images.The experimental results show that the algorithm designed in parallel can quickly generate highly clear textures from multiple-station panoramic images.The overall effect of the model is more realistic and clearer than vertex colored model.The visualization effect of the 3D model of a crime scene is also improved.

关 键 词：成像系统 三维重建 全景图像 激光点云 三角化 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] D918.4[自动化与计算机技术—计算机科学与技术]