Articles | Volume 6, issue 1
https://doi.org/10.5194/jsss-6-145-2017
https://doi.org/10.5194/jsss-6-145-2017
Regular research article
 | 
06 Apr 2017
Regular research article |  | 06 Apr 2017

Statistical characterization of evaluation strategies for fringe projection systems by means of a model-based noise prediction

Marc Fischer, Marcus Petz, and Rainer Tutsch

Viewed

Total article views: 1,990 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,414 489 87 1,990 114 105
  • HTML: 1,414
  • PDF: 489
  • XML: 87
  • Total: 1,990
  • BibTeX: 114
  • EndNote: 105
Views and downloads (calculated since 06 Apr 2017)
Cumulative views and downloads (calculated since 06 Apr 2017)

Viewed (geographical distribution)

Total article views: 1,933 (including HTML, PDF, and XML) Thereof 1,909 with geography defined and 24 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 27 Mar 2024
Download
Short summary
For optical measurement systems, camera noise is the dominant uncertainty factor when optically cooperative surfaces are measured in a stable environment. In this work it will be shown that the resulting spatial noise can be estimated by means of a noise model. The capability of this approach will be demonstrated for a fringe projection system. This provides a valuable tool for a statistical comparison of different evaluation strategies, which is shown for two different triangulation procedures.