The use of low density high accuracy (LDHA) data for correction of high density low accuracy (HDLA) point cloud

Michał Bartosz Rak , Adam Woźniak , Mayer J. R. R.

Abstract

Coordinate measuring techniques rely on computer processing of coordinate values of points gathered from physical surfaces using contact or non-contact methods. Contact measurements are characterized by low density and high accuracy. On the other hand optical methods gather high density data of the whole object in a short time but with accuracy at least one order of magnitude lower than for contact measurements. Thus the drawback of contact methods is low density of data, while for non-contact methods it is low accuracy. In this paper a method for fusion of data from two measurements of fundamentally different nature: high density low accuracy (HDLA) and low density high accuracy (LDHA) is presented to overcome the limitations of both measuring methods. In the proposed method the concept of virtual markers is used to find a representation of pairs of corresponding characteristic points in both sets of data. In each pair the coordinates of the point from contact measurements is treated as a reference for the corresponding point from non-contact measurement. Transformation enabling displacement of characteristic points from optical measurement to their match from contact measurements is determined and applied to the whole point cloud. The efficiency of the proposed algorithm was evaluated by comparison with data from a coordinate measuring machine (CMM). Three surfaces were used for this evaluation: plane, turbine blade and engine cover. For the planar surface the achieved improvement was of around 200 µm. Similar results were obtained for the turbine blade but for the engine cover the improvement was smaller. For both freeform surfaces the improvement was higher for raw data than for data after creation of mesh of triangles.
Author Michał Bartosz Rak IMIB - [Polytechnique Montreal ]
Michał Bartosz Rak,,
- The Institute of Metrology and Biomedical Engineering
- Polytechnique Montreal
, Adam Woźniak IMIB
Adam Woźniak,,
- The Institute of Metrology and Biomedical Engineering
, Mayer J. R. R. - Polytechnique Montreal
Mayer J. R. R.,,
-
Journal seriesOptics and Lasers in Engineering, ISSN 0143-8166
Issue year2016
No81
Pages140-150
Publication size in sheets0.5
Keywords in EnglishData fusion; Virtual markers; Laser scanning; Coordinate metrology; Data processing
DOIDOI:10.1016/j.optlaseng.2016.01.005
URL http://www.sciencedirect.com/science/article/pii/S0143816616000105
Languageen angielski
Score (nominal)30
ScoreMinisterial score = 30.0, 28-11-2017, ArticleFromJournal
Ministerial score (2013-2016) = 30.0, 28-11-2017, ArticleFromJournal
Publication indicators WoS Impact Factor: 2016 = 2.769 (2) - 2016=2.431 (5)
Citation count*4 (2018-02-20)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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