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The testing of PCL: an open-source library for point cloud processing

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the era of the rapid development of the terrestrial laser scanning technology (TLS), that facilitates the acquisition of large data volumes in the form of three-dimensional point clouds, a need arises to create modern solutions to enable effective and efficient data processing. This paper presents the PCL (Point Cloud Library). This is an Open Source project that contains many of the key algorithms for TLS data, designed for filtering, registration, estimation of function, surface reconstruction, modeling and segmentation, as well as structures for identifying and matching objects. The article discusses the structure of the project as well as its most useful modules from the point of view of the TLS data processing. It describes the format used by the PCL data storage. Also, a practical example is enclosed, as a basis for the discussion of consecutive steps of working with the library, from recording input data in the correct format to visualization of the effects of the used algorithm.
Rocznik
Tom
Strony
105--115
Opis fizyczny
Bibliogr. 20 poz., rys.
Twórcy
autor
  • Uniwersytet Rolniczy w Krakowie Katedra Geodezji
Bibliografia
  • Bae K.H., Lichti D.D. 2004. Automated registration of unorganized point clouds from terrestrial laser scanners. IAPRS, Istanbul, Turkey, 12-23 July, 222-227.
  • Bauer J., Karner K., Schindler K., Klaus A., Zach C. 2005. Segmentation of building from dense 3D point-clouds. Proceedings of the ISPRS. Workshop Laser scanning, Enschede, the Netherlands, 12-14 September.
  • Belton D., Lichti D.D. 2006. Classification and segmentation of terrestrial laser scanner point clouds, using local variance information. IAPRS, 36, 5, Dresden, 25-27 September.
  • Bienert A., Scheller S., Keane E., Mullooly G., Mohan F. 2006. Application of terrestrial laser scanners for the determination of forest inventory parameters. Image Engineering and Vision Metrology. ISPRS Commission V Symposium, WG 3, Dresden, 25-27.
  • Bohler W., Heinz G., Marbs A., Siebold M. 2002. 3D scanning software - an introduction. International Workshop on Scanning for Cultural Heritage Recording (CIPA 2002), Corfu, Greece, 9-13.
  • Dold C., Brenner C. 2006. Registration of terrestrial laser scanning data using planar patches and image data. IAPRS, 36, 5, Dresden, 25-27 September.
  • Fröhlich C., Mettenleiter M. 2004. Terrestrial laser scanning: New perspectives in 3D surveying. IAPRS&SIS, Freiburg, Germany, 36, 8/W2, 7-13.
  • Kadobayashi R., Kochi N., Otani H., Furukawa R. 2004. Comparison and evaluation of laser scanning and photogrammetry and their combined use for digital recording of cultural heritage. IAPRS&SIS, Istanbul, Turkey, 401-406.
  • Pu S., Rutzinger M., Vosselman G., Elberink S. 2011. Recognizing basic structures from mobile laser scanning data for road inventory studies. ISPRS J. Photogram. Remote Sens., 66, 28-39.
  • Pu S., Vosselman G. 2006. Automatic extraction of building features from terrestrial laser scanning. IAPRS, 36, 5, Dresden, Germany, 25-27 September.
  • Rabanni T. 2006. Automatic reconstruction of Industrial Installations using point clouds and images. PhD thesis. NCG, Delft, Netherlands, Publications on Geodesy, 62.
  • Rusu R.B., Cousins S. 2011. 3D is here: Point cloud library (PCL). In IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China.
  • Sithole G., Vosselmann G. 2003. Report: ISPRS Comparison of filters. Department of Geodesy, Faculty of Civil Engineering and GeoSciences, Delft University of Technology.
  • Staiger R. 2003. Terrestrial laser scanning - technology, systems and applications. 2nd Regional Conference FIG, Marrakech, Morocco.
  • Weber C., Hahmann S., Hagen H. 2010a. Methods for feature detection in Point Clouds. Shape Modeling International Conference (SMI), Aix-en-Provence, France.
  • Weber C., Hahmann S., Hagen H. 2010b. Sharp feature detection in point clouds. Shape Modeling International Conference (SMI), Aix-en-Provence, France.
  • Wendt A. 2004. On the automation of the registration of point clouds using the metropolis algorithm. IAPRS. Istanbul, Turkey, 12-23 July, 106-111.
  • Wezyk P., Koziol K., Glista M., Pierzchalski M. 2007. Terrestrial laser scanning versus traditional forest inventory, first results from the polish forests. Proceedings of ISPRS Workshop on laser scanning 2007 and SilviLaser. Espoo, Finland, 12-14 September, 424-430.
  • www.pointclouds.org - PCL official website.
  • www.willowgarage.com - Willow Garage official website.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d2eec450-3c7b-4ff7-ba13-2bf023ab2607
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