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An Experimental Benchmark for Point Set Coarse Matching


Roure, Ferran; Diez, Yago; Lladó, Xavier; Forest, Josep; Pribanić, Tomislav; Salvi, Joaquim;
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 – Science and Technology Publications, 2015. str. 679-685 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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 – Science and Technology Publications, 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, 11-14.03.2015

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

Autor s matičnim brojem:
Tomislav Pribanić, (223415)