Assessment of next-best-view algorithms performance with various 3D scanners and manipulator
Maciej Karaszewski , Marcin Adamczyk , Robert Sitnik
AbstractThe problem of calculating three dimensional (3D) sensor position (and orientation) during the digitization of real-world objects (called next best view planning or NBV) has been an active topic of research for over 20 years. While many solutions have been developed, it is hard to compare their quality based only on the exemplary results presented in papers. We implemented 13 of the most popular NBV algorithms and evaluated their performance by digitizing five objects of various properties, using three measurement heads with different working volumes mounted on a 6-axis robot with a rotating table for placing objects. The results obtained for the 13 algorithms were then compared based on four criteria: the number of directional measurements, digitization time, total positioning distance, and surface coverage required to digitize test objects with available measurement heads.
|Journal series||ISPRS Journal of Photogrammetry and Remote Sensing, ISSN 0924-2716|
|Publication size in sheets||0.65|
|Keywords in Polish||wyznaczanie kierunków pomiarowych, digitalizacja 3D, wysokorozdzielcze pomiary 3D, automatyczna digitalizacja|
|Keywords in English||Next-best view; 3D digitization; High-resolution 3D measurement; Automated digitization|
|ASJC Classification||; ; ;|
|Score|| = 45.0, 12-10-2020, ArticleFromJournal|
= 45.0, 12-10-2020, ArticleFromJournal
|Publication indicators||= 12; = 16.0; : 2016 = 3.058; : 2016 = 6.387 (2) - 2016=6.457 (5)|
|Citation count*||16 (2020-10-08)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.