Information
- Publication Type: Journal Paper (without talk)
- Workgroup(s)/Project(s):
- Date: April 2011
- ISSN: 0097-8493
- Journal: Computers & Graphics
- Number: 2
- Volume: 35
- Pages: 342 – 351
- Keywords: Graphics data structures and data types, Viewing algorithms, Point-based rendering
Abstract
In this paper we present an out-of-core editing system for point clouds, which allows selecting and modifying arbitrary parts of a huge point cloud interactively. We can use the selections to segment the point cloud, to delete points, or to render a preview of the model without the points in the selections. Furthermore we allow for inserting points into an already existing point cloud. All operations are conducted on a rendering optimized data structure that uses the raw point cloud from a laser scanner, and no additionally created points are needed for an ecient level-of-detail (LOD) representation using this data structure. We also propose an algorithm to alleviate the artifacts when rendering a point cloud with large discrepancies in density in dierent areas by estimating point sizes heuristically. These estimated point sizes can be used to mimic a closed surface on the raw point cloud, also when the point cloud is composed of several raw laser scans.Additional Files and Images
Additional images and videos
image:
Selecting points
Additional files
paper:
Out-of-Core Selection and Editing of Huge Point Clouds
Weblinks
No further information available.BibTeX
@article{scheiblauer-2011-cag, title = "Out-of-Core Selection and Editing of Huge Point Clouds", author = "Claus Scheiblauer and Michael Wimmer", year = "2011", abstract = "In this paper we present an out-of-core editing system for point clouds, which allows selecting and modifying arbitrary parts of a huge point cloud interactively. We can use the selections to segment the point cloud, to delete points, or to render a preview of the model without the points in the selections. Furthermore we allow for inserting points into an already existing point cloud. All operations are conducted on a rendering optimized data structure that uses the raw point cloud from a laser scanner, and no additionally created points are needed for an ecient level-of-detail (LOD) representation using this data structure. We also propose an algorithm to alleviate the artifacts when rendering a point cloud with large discrepancies in density in dierent areas by estimating point sizes heuristically. These estimated point sizes can be used to mimic a closed surface on the raw point cloud, also when the point cloud is composed of several raw laser scans.", month = apr, issn = "0097-8493", journal = "Computers & Graphics", number = "2", volume = "35", pages = "342--351", keywords = "Graphics data structures and data types, Viewing algorithms, Point-based rendering", URL = "https://www.cg.tuwien.ac.at/research/publications/2011/scheiblauer-2011-cag/", }