Pregled bibliografske jedinice broj: 755688
An Experimental Benchmark for Point Set Coarse Matching
An Experimental Benchmark for Point Set Coarse Matching // Proceedings of the 10th International Conference on Computer Vision Theory and Applications / Braz, José. Battiato, Sebastiano. Imai, Francisco. (ur.).
Berlin: SCITEPRESS, 2015. str. 679-685 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 755688 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
An Experimental Benchmark for Point Set Coarse Matching
Autori
Roure, Ferran ; Diez, Yago ; Lladó, Xavier ; Forest, Josep ; Pribanić, Tomislav ; Salvi, Joaquim ;
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 10th International Conference on Computer Vision Theory and Applications
/ Braz, José. Battiato, Sebastiano. Imai, Francisco. - Berlin : SCITEPRESS, 2015, 679-685
ISBN
978-989-758-089-5
Skup
10th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2015
Mjesto i datum
Berlin, Njemačka, 11.03.2015. - 14.03.2015
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Coarse Matching; Algorithm Standardization; Datasets; Benchmark; 3D Registration
Sažetak
Coarse Matching of point clouds is a fundamental problem in a variety of computer vision applications. While many algorithms have been developed in recent years to address its different aspects, the lack of unified measures and commonly agreed upon data hampers algorithm performances comparison. Additionally, a large number of contributions are tested only with synthetic or processed data. This is a problem as the resulting scenario is somewhat less challenging and does not always conform to practical application conditions. In this paper, we present a new, publicly available database that aims at overcoming the existing problems, provide researchers with a useful tool to compare new contributions to existing ones and represent a step towards standardization. The database contains both processed and unprocessed data with attention to specially challenging datasets. It also includes information on correct solution, presence of noise, overlap percentages and additional information that will allow researchers to focus only on specific parts of the matching pipeline.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Tomislav Pribanić
(autor)