Pregled bibliografske jedinice broj: 771529
A study on the robustness of shape descriptors to common scanning artifacts
A study on the robustness of shape descriptors to common scanning artifacts // Proceedings of 14th IAPR International Conference on Machine Vision Applications / Ukita, Norimichi. Segawa, Eigo. Yui, Norichika. (ur.).
Tokyo: MVA Organization, 2015. str. 522-525 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 771529 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A study on the robustness of shape descriptors to common scanning artifacts
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 14th IAPR International Conference on Machine Vision Applications
/ Ukita, Norimichi. Segawa, Eigo. Yui, Norichika. - Tokyo : MVA Organization, 2015, 522-525
ISBN
978-4-901122-15-3
Skup
14th IAPR International Conference on Machine Vision Applications
Mjesto i datum
Tokyo, Japan, 18.05.2015. - 22.05.2015
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
3D registration; 3D reconstruction; SHOT; Spin Image
Sažetak
Registration is a fundamental problem in a myriad of applications ranging from heritage reconstruction to industrial applications. Descriptors are an important part of the registration pipeline as well as a very active research field. However, the sets used to illustrate descriptor performance have often undergone several preprocessing steps such as noise filtering, hole filling or outlier removal. These steps simplify the problem but are not readily available in many applications. In this paper we compare the performances of 4 state of the art shape descriptors: SHOT [1], Spin Image [2], FPFH [3] and 3DSC [4]. Experiments were carried out with real as well as synthetic data paying special attention to issues commonly present in real data (noise, outliers and low overlap). The method obtaining a best result overall is SHOT, based mostly on the results with synthetic data. Experiments with real data showed how state of the art descriptors are not yet able to produce optimal results in the most challenging.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Tomislav Pribanić
(autor)