Název:	3D Point Set Registration based on Hierarchical Descriptors
Autoři:	Dutta, Somnath Russig, Benjamin Gumhold, Stefan
Citace zdrojového dokumentu:	Journal of WSCG. 2022, vol. 30, no. 1-2, p. 44-53.
Datum vydání:	2022
Nakladatel:	Václav Skala - UNION Agency
Typ dokumentu:	článek article
URI:	http://hdl.handle.net/11025/49393
ISSN:	1213-6972 (print) 1213-6964 (on-line)
Klíčová slova:	registrace 3D tvaru;povrchové deskriptory;míra podobnosti
Klíčová slova v dalším jazyce:	3D shape registration;surface descriptor;similarity measure
Abstrakt v dalším jazyce:	Registering partial point clouds is crucial in numerous applications in the field of robotics, vision, and graphics. For arbitrary configurations, the registration problem requires an initial global alignment, which is computationally expensive and often still requires refinement. In this paper, we propose a pair-wise global registration method that combines the fast convergence made possible by global hierarchical surface descriptors with the arbitrarily fine sampling enabled by continuous surface representations. Registration is performed by matching descriptors of increasing resolution – which the continuous surfaces allow us to choose arbitrarily high – while restricting the search space according to the hierarchy. We evaluated our method on a large set of pair-wise registration problems, demonstrating very competitive registration accuracy that often makes subsequent refinement with a local method unnecessary.
Práva:	© Václav Skala - UNION Agency
Vyskytuje se v kolekcích:	Volume 30, Number 1-2 (2021)

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.