Naslov
Hierarchical Techniques to Improve Hybrid Point Cloud Registration

Autori
Roure, Ferran ; Llado, Xavier ; Salvi, Joaquim ; Pribanić, Tomislav ; Diez, Yago

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

Izvornik
Proceedings of 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP2017) / Imai, Francisco ; Tremeau, Alain ; Braz, Jose ; - Porto : SCITEPRESS, 2017, 44-51

ISBN
978-989-758-225-7

Skup
12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP2017)

Mjesto i datum
Porto, Portugal, 27.02.2017. - 01.03.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Point Cloud Matching, Algorithms and Data Structures, Regular Grid, Hierarchical Approach

Sažetak
Reconstructing 3D objects by gathering information from multiple spatial viewpoints is a fundamental problem in a variety of applications ranging from heritage reconstruction to industrial image processing. A central issue is known as the ”point set registration or matching” problem. where the two sets being considered are to be rigidly aligned. This is a complex problem with a huge search space that suffers from high computational costs or requires expensive and bulky hardware to be added to the scanning system. To address these issues, a hybrid hardware-software approach was presented in (Pribanić et al., 2016) allowing for fast software registration by using commonly available (smartphone) sensors. In this paper we present hierarchical techniques to improve the performance of this algorithm. Additionally, we compare the performance of our algorithm against other approaches. Experimental results using real data show how the algorithm presented greatly improves the time of the previous algorithm and perform best over all studied algorithms.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

Napomena
“Best Paper” Nominee on VISIGRAPP2017

POVEZANOST RADA