Segmentation of Depth Images into Objects Based on Polyhedral Shape Class Model (CROSBI ID 681697)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Cupec, Robert ; Filko, Damir ; Đurović, Petra
engleski
Segmentation of Depth Images into Objects Based on Polyhedral Shape Class Model
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.
Computer vision ; Image segmentation ; Object detection ; 3D scene reconstruction
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Podaci o prilogu
1-8.
2019.
objavljeno
10.1109/ECMR.2019.8870917
Podaci o matičnoj publikaciji
Podaci o skupu
ECMR 2019 – European Conference on Mobile Robots 2019
poster
04.09.2019-06.09.2019
Prag, Češka Republika