کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
556085 | 1451298 | 2013 | 13 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: One billion points in the cloud – an octree for efficient processing of 3D laser scans One billion points in the cloud – an octree for efficient processing of 3D laser scans](/preview/png/556085.png)
Automated 3-dimensional modeling pipelines include 3D scanning, registration, data abstraction, and visualization. All steps in such a pipeline require the processing of a massive amount of 3D data, due to the ability of current 3D scanners to sample environments with a high density. The increasing sampling rates make it easy to acquire Billions of spatial data points. This paper presents algorithms and data structures for handling these data. We propose an efficient octree to store and compress 3D data without loss of precision. We demonstrate its usage for an exchange file format, fast point cloud visualization, sped-up 3D scan matching, and shape detection algorithms. We evaluate our approach using typical terrestrial laser scans.
Figure optionsDownload high-quality image (85 K)Download as PowerPoint slide
Journal: ISPRS Journal of Photogrammetry and Remote Sensing - Volume 76, February 2013, Pages 76–88