Two-stage automated measurement process for high-resolution 3D digitization of unknown objects

Maciej Karaszewski , M. Stępień , Robert Sitnik

Abstract

In this paper, a process for high-resolution, automated 3D digitization of unknown objects (i.e., without any digital model) is presented. The process has two stages—the first leads to a coarse 3D digital model of the object, and the second obtains the final model. A rough model, acquired by a 3D measurement head with a large working volume and relatively low resolution, is used to calculate the precise head positions required for the full digitization of the object, as well as collision detection and avoidance. We show that this approach is much more efficient than digitization with only a precise head, when its positions for subsequent measurements (so-called next-best-views) must be calculated based only on a partially recovered 3D model of the object. We also show how using a rough object representation for collision detection shortens the high-resolution digitization process.
Author Maciej Karaszewski IMiF
Maciej Karaszewski,,
- The Institute of Micromechanics and Photonics
, M. Stępień IMiF
M. Stępień,,
- The Institute of Micromechanics and Photonics
, Robert Sitnik IMiF
Robert Sitnik,,
- The Institute of Micromechanics and Photonics
Journal seriesApplied Optics, ISSN 1559-128X [0003-6935]
Issue year2016
Vol55
No29
Pages8162-8170
Publication size in sheets0.5
Keywords in Polishwyznaczanie kierunków pomiarowych, digitalizacja 3D, wysokorozdzielcze pomiary 3D, automatyczna digitalizacja
Keywords in EnglishNext-best view, 3D digitization, High-resolution 3D measurement, Automated digitization
DOIDOI:10.1364/AO.55.008162
URL https://www.osapublishing.org/view_article.cfm?gotourl=https%3A%2F%2Fwww%2Eosapublishing%2Eorg%2FDirectPDFAccess%2F415E6124%2D0F06%2DB641%2DAFCC48237071D838%5F350865%2Fao%2D55%2D29%2D8162%2Epdf%3Fda%3D1%26id%3D350865%26seq%3D0%26mobile%3Dno&org=Politechnika%20Warszawska%20Biblioteka%20Glowna%20%2F%20Warsaw%20University%20of%20Technology
Languageen angielski
Score (nominal)30
ScoreMinisterial score = 25.0, 28-11-2017, ArticleFromJournal
Ministerial score (2013-2016) = 30.0, 28-11-2017, ArticleFromJournal
Publication indicators WoS Impact Factor: 2016 = 1.65 (2) - 2016=1.645 (5)
Citation count*4 (2018-07-17)
Cite
Share Share

Get link to the record
msginfo.png


* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
Back