Naslov
Adaptive Representation of Large 3D Point Clouds for Shape Optimization.

Autori
Ćurković Milan ; Vučina Damir

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Operations Research Proceedings 2015 / Dörner K., Ljubic I., Pflug G., Tragler G. - Beč : Springer, 2017, 547-553

ISBN
978-3-319-42902-1

Skup
International Conference of the German, Austrian and Swiss Operations Research Societies (GOR, ÖGOR, SVOR/ASRO)

Mjesto i datum
Beč, Austrija, 01.09.2015. - 04.09.2015

Vrsta sudjelovanja
Ostalo

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Adaptive Representation, Shape Optimization

Sažetak
A numerical procedure for adaptive parameterization of changing 3D objects for knowledge representation, analysis and optimization is developed. The object is not a full CAD model since it involves many shape parameters and excessive details. Instead, optical 3D scanning of the actual object is used (stereo-photogrammetry, triangulation) which leads to the big-data territory with point clouds of size 10^8 and beyond. The total number of inherent surface parameters corresponds to the dimensionality of the shape optimization space. Parameterization must be highly compact and efficient while capable of representing sufficiently generic 3D shapes. The procedure must handle dynamically changing shapes in optimization quasi-time iterations. It must be flexible and autonomously adaptable as edges and peaks may disappear and new ones may arise. Adaptive re-allocation of the control points is based on feature recognition procedures (edges, peaks) operating on eigenvalue ratios and slope/ curvature estimators. The procedure involves identification of areas with significant change in geometry and formation of partitions.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo

POVEZANOST RADA