摘要
三维建筑物模型纹理映射方法通常针对单独平面选取单一影像投影,然而单张关联影像通常存在部分遮挡问题,影响纹理映射质量.为此,本文提出一种基于帧缓存纹理绘制技术的多角度影像精准纹理映射方法.首先将单体化精细建筑模型和倾斜摄影测量解决方案生成的三角网模型配准,再根据建筑模型空间特征进行纹理绘制基元提取;然后根据纹理绘制基元对三角网模型生成虚拟渲染相机,利用帧缓存纹理绘制方法,获取帧缓存对象并提取纹理,最后通过纹理绘制基元映射到精细建筑物模型表面,实现三角网模型到精细单体化建筑模型的自动纹理映射.利用倾斜摄影测量数据进行实验,实验结果表明,相比传统方法,本文方法减少了14%以上的不良纹理比率,纹理空间压缩率达到14.21%,且具有更精确的纹理映射效果,能满足精细建筑模型的纹理重建需求.
Detailed texture mapping methods for building 3D models normally select the best matching image for each single face.However,face associated single images often have partial occlusion problems that impact the quality of mapped textures.An accurate multi-view image texture mapping method based on frame buffer rendering is presented here.First,the coordinates of the single independent building model and the triangle mesh model produced using oblique photogrammetric data were registered.Following this,rendering primitives based on spatial characteristics of the single independent building model were extracted.Subsequently,rendering cameras for the triangle mesh model were established depending on the rendering primitives.Using the Render to Texture(RTT)method,textures corresponding to rendering primitives from a frame buffer object(FBO)are obtained while rendering the triangle mesh model using the rendering cameras.Finally,the textures of the surface of a detailed building model were remapped using rendering primitives,and automatic texture mapping was achieved from the triangle mesh model to form a detailed single independent building model.The usage of oblique photogrammetry data demonstrates that the occupation of the defective textures is reduced by over 14%using our proposed method compared to the traditional method,and the size of the textures were compressed to 14.21%with more accurate texture mapping quality,thereby satisfying the texture reconstruction requirements for a detailed building model.
作者
朱庆
翁其强
胡翰
王峰
王伟玺
杨卫军
张鹏程
ZHU Qing;WENG Qiqiang;HU Han;WANG Feng;WANG Weixi;YANG Weijun;ZHANG Pengcheng(Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China;Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Land and Resources,Shenzhen 518060,China;Department of Land Surveying and Geoinformatics,The Hong Kong Polytechnic University,Hong Kong 999077,China;Research Institute for Smart City,Shenzhen University,Shenzhen 518060,China;Guangzhou Urban Planning and Design Survey Research Institute,Guangzhou 510060,China)
出处
《西南交通大学学报》
EI
CSCD
北大核心
2019年第2期269-277,共9页
Journal of Southwest Jiaotong University
基金
国家自然科学基金资助项目(41631174
41501421
61602392)
国土资源部城市地监测与仿真重点实验室开放课题(KF-2016-02-022
KF-2016-02-021)
关键词
摄影测量
建筑物精细三维重建
帧缓存
纹理映射
计算机视觉
photogrammetry
detailed building 3D reconstruction
frame buffer
texture mapping
computer vision