Napredna pretraga

Pregled bibliografske jedinice broj: 771529

A study on the robustness of shape descriptors to common scanning artifacts


Roure, Ferran; Diez, Yago; Lladó, Xavier; Forest, Josep; Pribanić, Tomislav; Salvi, Joaquim
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)


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
MIRAIKAN, Tokyo, Japan, 18-22.05. 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

Autor s matičnim brojem:
Tomislav Pribanić, (223415)