Measurement strategy as a determinant of the measurement uncertainty of an optical scanner

Open access


The subject of the article is an attempt to determine the impact of the applied measurement strategy on the accuracy of the measurement result. This problem is particularly crucial when measuring large objects. In these cases, it is not always possible to provide ideal conditions for the submission of particular scans. It is necessary to adjust the strategy to specific imposed conditions defined by the geometry of the object and to the time frame of the measurement itself.

With regard to the above, an attempt was made to carry out a series of accuracy studies testing the structural light scanner while measuring elements of overall dimensions greater than the measuring capacity of the scanner. At the same time, various potential measuring strategies were simulated in practical applications. Our studies were conducted using a pre-designed test template with a defined distribution pattern of reference points and geometrical elements. Moreover, in order to make an in-depth investigation of the issue, some trials were undertaken with the use of limiting parameters. That means the scanner had both an excess and shortage of information required for a correct assembly of scans. Those scopes were taken into consideration in the study in order to use the acquired knowledge in practical measuring applications. Furthermore, conclusions from the conducted studies indicate peaks and troughs of respective measuring strategies with special care for determining relationships among the used strategies and the measuring accuracy parameters.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • [1] Wieczorowski M. Ruciński M. Koteras R. Application of optical scanning for measurements of castings and cores Archives of Foundry Engineering 10 2010 265-268.

  • [2] Wieczorowski M. Szymański M. Gapiński B. Rękas A. Szymański S. Grzelka M. Application of photogrammetry to design and inspect bus and railway seats Mechanik 12 2016 1896-1897.

  • [3] Majchrowski R. Grzelka M. Wieczorowski M. Sadowski L. Gapiński B. Large area concrete surface topography measurements using optical 3D scanner Metrology and Measurement Systems XXII 4 2015 565-576.

  • [4] Wieczorowski M. Koteras R. Znaniecki P. Use of optical scanner for car body quality control PAK 1 2010 40-41.

  • [5] Keller P. Contactless measurement of flat dimensions using digital image processing methods In. XIV. Gemeinsames Wissenschaftliches Kolloquium TU Dresden-TU Liberec TU Dresden Germany 2003 7-12.

  • [6] Palousek D. Omasta M. Koutny D. Bednar J. Koutecky T. Dokoupil F. Effect of matte coating on 3D optical measurement accuracy Optical Materials 40 2015 1-9.

  • [7] Barbero B. Ureta R. Comparative study of different digitization techniques and their accuracy Computer Aided Design 43 2011 188-206.

  • [8] Acko B. McCarthy M. Haertig F. Buchmeister B. Standards for testing freeform measurement capability of optical and tactile coordinate measuring machines Measurement Science and Technology 23 2012.

  • [9] Dury M. 3D Optical Scanner Dimensional Verification Facility Laser Metrology and Machine Performance XI – 11th International Conference and Exhibition on Laser Metrology 2015 187-197.

  • [10] Harding K. Handbook of Optical Dimensional Metrology. Boca Raton: CRC Press 2013

  • [11] Haddadi Y. Bahrami G. Isidor F. Effect of software version on the accuracy on an intraoral scanning device International Journal of Prosthodontics 31 2018 375-376.

  • [12] Mendricky R. Analysis of measurement accuracy of contactless 3D optical scanners Science Journal 2015 711-716.

  • [13] Patil A.K. Kumar G.A. Kim T.H. Chai Y.H. Hybrid approach for alignment of a pre-processed three-dimensional point cloud video and CAD model using partial point cloud in retrofitting applications International Journal of Distributed Sensor Networks 14 2018 215-222.

  • [14] Campbell R.J. Flynn P.J. “A survey of free-form object representation and recognition techniques”. Comput Vision Image Understanding. 81 2 2011 166-210.

  • [15] (09.11.2016).

  • [16] (12.11.2016).

  • [17] Wieczorowski M. Znaniecki P. Robotization of measurements with an optical sensor Postępy Nauki i Techniki 6 2011 81-87.

  • [18] Xiong H. Xu J. Xu C. Pan M. Scanning freeform objects by combining shape from silhouette and shape from line structured light Laser and Optical Measurement Technology 9297 2014 112-118.

  • [19] Brown S. Stevens R. Williams D. McCarty M. Colour imperfections in structured light for freeform measurement rapid test Imaging Science Journal 65 2017 293-298.

  • [20] Joaquim S. et al. “Pattern codification strategies in structured light systems”. Pattern Recognition. 37 4 (2004): pp. 827÷849.

  • [21] GOM ATOS Manual (2014).

Journal information
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 49 49 6
PDF Downloads 24 24 4