Pregled bibliografske jedinice broj: 1024961
Segmentation of Depth Images into Objects Based on Polyhedral Shape Class Model
Segmentation of Depth Images into Objects Based on Polyhedral Shape Class Model // European Conference on Mobile Robots (ECMR)2019
Prag, Češka Republika, 2019. str. 1-8 doi:10.1109/ECMR.2019.8870917 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1024961 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Segmentation of Depth Images into Objects Based on Polyhedral Shape Class Model
Autori
Cupec, Robert ; Filko, Damir ; Đurović, Petra
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
European Conference on Mobile Robots (ECMR)2019
/ - , 2019, 1-8
Skup
ECMR 2019 – European Conference on Mobile Robots 2019
Mjesto i datum
Prag, Češka Republika, 04.09.2019. - 06.09.2019
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Computer vision ; Image segmentation ; Object detection ; 3D scene reconstruction
Sažetak
A novel approach for object detection in depth images based on a polyhedral shape class model is proposed. The proposed segmentation algorithm decides whether a subset of image points represents a physical object on the scene or not by comparing its 3D shape to several shape classes. The algorithm is designed for cluttered scenes with simple convex or hollow convex objects. The proposed algorithm is trained using a set of 3D models of objects belonging to several shape classes, which are expected to appear in the scene. The presented method is experimentally evaluated using a publicly available benchmark dataset and compared to three state-of-the art approaches.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-IP-2014-09-3155 - Napredna 3D percepcija za mobilne robotske manipulatore (ARP3D) (Cupec, Robert, HRZZ - 2014-09) ( CroRIS)
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek