Scanning Noise Evaluation Based on 3D Mesh Model

  • Nguyen Duy Minh PhanEmail author
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 104)


Nowadays, with the evolution of new technologies, the use of 3D scanning systems is becoming more prevalent in the industry. These systems allow the acquisition of a large amount of data on the geometric representation of surfaces in a relatively short time. As the acquired data is usually exploited for many purposes such as reverse engineering or manufactured part inspection, the quality of point cloud or scanning quality has become a critical issue. The scanning noise is a common indicator to evaluate the scanning quality of the acquired data. In this paper, we propose a method to evaluate the scanning noise based on 3D mesh model. 3D point clouds obtained from the scanning system are aligned with 3Dmesh model of the scanned part and the noise is then calculated for each triangular facet. This noise is qualified in terms of quality by comparing with a threshold value of noise obtained from the sensor qualification protocol.


Quality indicators Scanning noise Scanning system Laser-plane sensor Mesh 


  1. 1.
    Lartigue, C., Bourdet, A., Contri, P.: Digitised point quality in relation with point exploitation. Measurement 32(3), 193–203 (2002)CrossRefGoogle Scholar
  2. 2.
    Phan, N.D.M., Quinsat, Y., Lartigue, C.: Optimal scanning strategy for on-machine inspection with laser-plane sensor. Int. J. Adv. Manuf. Technol., 1–14 (2019)Google Scholar
  3. 3.
    Son, S., Park, H., Lee, K.H.: Automated laser scanning system for reverse engineering and inspection. Int. J. Mach. Tools Manuf. 42(8), 889–897 (2002)CrossRefGoogle Scholar
  4. 4.
    Phan, N.D.M., Quinsat, Y., Lavernhe, S., Lartigue, C.: Scanner path planning with the control of overlap for part inspection with an industrial robot. Int. J. Adv. Manuf. Technol. 98, 629–643 (2018)CrossRefGoogle Scholar
  5. 5.
    Phan, N.D.M, Quinsat, Y., Lartigue, C.: Defining scanning trajectory for on-machine inspection using a laser-plane scanner. In: Advances on Mechanics, Design Engineering and Manufacturing II, pp. 349–358. Springer (2019)Google Scholar
  6. 6.
    Audfray, N.: Uneapprocheglobale pour la métrologie 3D automatique multi-systemes. Ph.D. thesis, Ecolenormalesupérieure de Cachan- ENS Cachan (2012)Google Scholar
  7. 7.
    Phan, N.D.M., Quinsat, Y., Lartigue, C.: Simulation of laser-sensor digitizing for on-machine part inspection. In: Advances on Mechanics, Design Engineering and Manufacturing, pp. 301–311. Springer (2017)Google Scholar
  8. 8.
    Hoppe, H., DeRose, T., Duchamp, T., McDonald, J., Stuetzle, W.: Surface reconstruction from unorganized points. ACM (1992)Google Scholar
  9. 9.
    Lartigue, C., Quinsat, Y., Mehdi-Souzani, C., Zuquete-Guarato, A., Tabibian, S.: Voxel-based path planning for 3D scanning of mechanical parts. Comput.-Aided Des. Appl. 11, 220–227 (2014)CrossRefGoogle Scholar
  10. 10.
    Mahmud, M., Joannic, D., Roy, M., Isheil, A., Fontaine, J.-F.: 3D part inspection path planning of a laser scanner with control on the uncertainty. Comput.-Aided Des. 43, 345–355 (2011)CrossRefGoogle Scholar
  11. 11.
    Mehdi-Souzani, C., Thiebaut, F., Lartigue, C.: Scan planning strategy for a general digitized surface. J. Comput. Inf. Sci. Eng. 6, 331–339 (2006)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.The University of Danang-University of Technology and EducationDanangVietnam

Personalised recommendations