CloudCompare

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CloudCompare

CloudCompare 2.5
Stable release 2.5.0 / July 12, 2013 (2013-07-12)[1]
Written in C++
Operating system Cross-platform
Type graphics software
License GPL
Website www.danielgm.net/cc

CloudCompare is a 3D point cloud processing software (such as those obtained with a laser scanner). It can also handle triangular meshes and calibrated images.

Originally created during a collaboration between Telecom ParisTech and the R&D division of EDF, the CloudCompare project began in 2003 with the PhD of Daniel Girardeau-Montaut on Change detection on 3D geometric data.[2] At that time, its main purpose was to quickly detect changes in 3D high density point clouds acquired with laser scanners in industrial facilities (such as power plants) or building sites.[3] Afterwards it evolved towards a more general and advanced 3D data processing software. It is now an independent open source project and a free software.

CloudCompare provides a set of basic tools for manually editing and rendering 3D points clouds and triangular meshes. It also offers various advanced processing algorithms, among which methods for performing:

CloudCompare can handle unlimited scalar fields per point cloud on which various dedicated algorithms can be applied (smoothing, gradient evaluation, statistics, etc.). A dynamic color rendering system helps the user to visualize per-point scalar fields in an efficient way. Therefore, CloudCompare can also be used to visualize N-D data.

The user can interactively segment 3D entities (with a 2D polyline drawn on screen), interactively rotate/translate one ore several entities relatively to the others, interactively pick single points or couples of points (to get the corresponding segment length) or triplets of points (to get the corresponding angle and plane normal). The latest version also supports the creation of 2D labels attached to points or rectangular areas annotations.

CloudCompare is available on Windows, Linux and Mac OS X platforms, for both 32 and 64 bits architectures. It is developed in C++ with Qt.

Input/Output

CloudCompare supports input/output in the following formats:

  • BIN (CloudCompare own binary format)
  • ASCII cloud (one point per line "X Y Z ...") [wizard]
  • PLY cloud or mesh [wizard]
  • OBJ mesh(es)
  • VTK cloud or mesh
  • STL mesh
  • E57 (ASTM E2807 standard[4]) clouds & calibrated images
  • LAS and LAZ clouds
  • Point Cloud Library PCD files

Thanks to a continuing collaboration with Pr. Irwin Scollar (creator of AirPhoto SE, a program for the geometric rectification of aerial images & orthophotos from multiple images), CloudCompare can also import Snavely's Bundler SfM software output file (.out) to generate orthorectified images (directly as image files or as 2D point clouds) and an approximated DTM (based on Bundler key-points) colored with images data.

CloudCompare can also import various other formats: Aveva PDMS '.mac' scripts (supported primitives: cylinder, plane, cone, torus, dish, box, snout and profile extrusion), SOI (from old Mensi Soisic scanners), PN, PV, POV, ICM, etc.). Eventually, CloudCompare can also export Maya ASCII files (MA).

Plugins

A plugin mechanism enables further extension of CloudCompare capabilities. Two kinds of plugins are available:

  • standard plugins for algorithms coming either from the academic world (ShadeVis,[5] HPR,[6] Poisson reconstruction,[7] etc.) or from external libraries (PCL) or hardware devices (point cloud acquisition with a Kinect device)
  • OpenGL plugins for advanced shaders (EyeDome Lighting,[8] SSAO, etc.)

See also

References

  1. ↑ CloudCompare release history, official CloudCompare site.
  2. ↑ Détection de changement sur des données géométriques tridimensionnelles, D. Girardeau-Montaut, PhD manuscript (french), 2006 - available on Pastel
  3. ↑ Change Detection on Points Cloud Data acquired with a Ground Laser Scanner, D. Girardeau-Montaut, M. Roux, R. Marc & G. Thibault, ISPRS Workshop Laser Scanning 2005, Enschede, the Netherlands, September 12–14, 2005
  4. ↑ The ASTM E57 File Format for 3D Imaging Data Exchange, Daniel Huber, Proceedings of the SPIE Vol. 7864A, Electronics Imaging Science and Technology Conference (IS&T), 3D Imaging Metrology, January, 2011
  5. ↑ ShadeVis an open source tool for computing ambient occlusion
  6. ↑ Direct Visibility of Point Sets, Sagi Katz, Ayellet Tal, and Ronen Basri, SIGGRAPH 2007, ACM Transactions on Graphics, Volume 26, Issue 3, August 2007
  7. ↑ Poisson Surface Reconstruction, M. Kazhdan, M. Bolitho, and H. Hoppe, Symposium on Geometry Processing, June 2006, pages 61--70
  8. ↑ Eye-Dome Lighting: a non-photorealistic shading technique, Kitware/The Source

External links

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