The art of computer programming, volume 3: (2nd ed.) sorting and searching
The art of computer programming, volume 3: (2nd ed.) sorting and searching
External memory algorithms and data structures: dealing with massive data
ACM Computing Surveys (CSUR)
Pointshop 3D: an interactive system for point-based surface editing
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
ACM SIGGRAPH 2003 Papers
Statistical geometry representation for efficient transmission and rendering
ACM Transactions on Graphics (TOG)
Point-Based Graphics
IEEE Transactions on Visualization and Computer Graphics
The digital michelangelo project
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
Interactive Domitilla catacomb exploration
VAST'09 Proceedings of the 10th International conference on Virtual Reality, Archaeology and Cultural Heritage
Post-processing of scanned 3D surface data
SPBG'04 Proceedings of the First Eurographics conference on Point-Based Graphics
Interactive out-of-core texturing with point-sampled textures
SPBG'06 Proceedings of the 3rd Eurographics / IEEE VGTC conference on Point-Based Graphics
Instant points: fast rendering of unprocessed point clouds
SPBG'06 Proceedings of the 3rd Eurographics / IEEE VGTC conference on Point-Based Graphics
Editorial: Special Section on Cultural Heritage
Computers and Graphics
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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 efficient 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 different 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.