摘要
3维城市模型的快速获取及更新是近十年来计算机视觉及数字摄影测量领域研究的热点。从实用、经济的角度出发,提出了集成城市数字地图、LIDAR data以及机载视频序列影像多数据源,基于数字摄影测量理论的半自动获取3维城市模型的解决办法,并在3维导航的数据生产实践中进行了验证,取得较好的生产效率及效果。
Interest in 3D city Modeling and quickly updating have significantly raised in the past years. In this paper, an economically viable solution for city modeling based on strict digital photogrammetric theory is proposed. Two oblique image sequences for buildings＇ walls and one vertical image sequence for building＇ s roof, acquired by digital video camera on helicopter, coarse 2D vector data of buildings and LIDAR data are used as sources of information. Camera parameters of each image are acquired by automatic aerial triangulation technique for high overlapping image sequence. By matching every space edge of the building to its image line, the building is accurately reconstructed. The visualization of 3D city model is realized based on the reconstructed buildings with fine textures superimposed on DSM and ortho-image. Experimental results in three-dimensional car navigation application show us an attractive future both in efficiency and expression.
出处
《中国图象图形学报》
CSCD
北大核心
2006年第8期1161-1170,共10页
Journal of Image and Graphics
关键词
3维城市模型
数字摄影测量
视频量测
序列影像
3D city modeling, digital photogrammetry, video grammetry, image sequence
作者简介
吴军（1973-），男。现于美国Old Dominion University从事博士后研究工作。研究领域包括计算机视觉、数字摄影测量与3维城市建模，已在核心期刊上发表论文多篇。E—mail：wujun93161@hotmail．com
