|WikiProject Computing||(Rated Start-class)|
Wrong Surface Reconstruction
Link removed by nmellado, 10:07, 20 December 2016 (GMT+1)
I have removed the following link from this article:
It is intentionally unlinked as I believe the inserter is intending to promote his/her product. The contents of the PDF lead into a promotion of a product. I am listing it here for others to review, however, because it does contain other information that might be useful. I leave it to others to determine whether it should be included. --AbsolutDan (talk) 16:47, 13 November 2006 (UTC)
request for adding citation
Dear editors, this is a request for adding a citation to the book Model-based Analysis and Evaluation of Point Sets from Optical 3D Laser Scanners (PDF copy) to the 3d scanner and point cloud articles. I think that it gives a comprehensive overview on point cloud generation with many detailed description on 3d data processing.
Let me explain why I think that is a noticeable contribution for the 3d scanner and point cloud topics: Many researcher use 3d scanners of different types and from different companies which produce 3d point clouds. The entire point sets is usually pre-processed (approximated,
smoothed, etc.) and finally meshed by polygonal representations in many other different ways. The mentioned book discusses the entire scan process for metrology applications with a special focus on all the steps between, i.e. system setup, calibration, scan line analysis, point cloud structures. It explains what additional knowledge about laser and camera parameters (positions, orientations), motion devices and multi-sensor interactions exists and how it can be used for an easier and significant faster data processing. In fact, it extends the typical 3D model acquisition pipeline by additional information from the scan system configuration. A description of these facts and with this complexity has never been addressed by others before.
chapter 2 (pp. 7-28) introduces algorithmic and technical foundations and gives a survey of common 3d scanning principles and surface reconstruction methods.
chapter 3 (pp. 31-46) discusses the scan data acquisition at the example of an optical 3d laser scanner in detail, which includes system setup and calibration and 3d data computation.
chapter 4 (pp. 47-64) deals with curve-based scan data analysis by approximating NURBS curves to the scan data in order to derive features like edges and corners.
chapter 5 (pp. 65-80) explains procedures for processing grids of scan lines by approximating NURBS patches in order to compute surface curvatures.
chapter 6 (pp. 83-102) discusses a variety of approaches for raw point cloud processing like tree-based data structures, graph representations, normal vector computation and optimization procedures like smoothing, correction and simplification and gives case studies.
chapter 7 (pp. 105-118) describes practical applications for the above methods at the example of two measuring machines developed for the industry.
If you found it a noticeable contribution for the 3d scanner and point cloud articles then please add it as a reference. Thank you for your time. —Preceding unsigned comment added by Cteutsch (talk • contribs) 18:03, 8 December 2008 (UTC)
- Added links to the cited publication and the 3d scanner page in the above section. -- Lochneil (talk) 03:58, 3 March 2009 (UTC)