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Pregled bibliografske jedinice broj: 1024961

Segmentation of Depth Images into Objects Based on Polyhedral Shape Class Model


Cupec, Robert; Filko, Damir; Đurović, Petra
Segmentation of Depth Images into Objects Based on Polyhedral Shape Class Model // European Conference on Mobile Robots (ECMR)2019
Prag, Češka, 2019. str. 1-8 doi:10.1109/ECMR.2019.8870917 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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
European Conference on Mobile Robots (ECMR)

Mjesto i datum
Prag, Češka, 4-6.09.2019

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


Projekt / tema
HRZZ-IP-2014-09-3155 - Napredna 3D percepcija za mobilne robotske manipulatore (Robert Cupec, )

Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

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