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3D Object Detection and Recognition for Robotic Grasping Based on RGB-D Images and Global Features Cover

3D Object Detection and Recognition for Robotic Grasping Based on RGB-D Images and Global Features

Foundations of Computing and Decision Sciences
Volume 42 (2017): Issue 3 (September 2017)
By: Witold Czajewski and  Krzysztof Kołomyjec  
Open Access
|Sep 2017

Authors

Witold Czajewski

w.czajewski@isep.pw.edu.pl

Instytut Sterowania i Elektroniki Przemysłowej, Politechnika Warszawska, Warszawa

Krzysztof Kołomyjec

k_kolom@poczta.onet.pl

Instytut Sterowania i Elektroniki Przemysłowej, Politechnika Warszawska, Warszawa
DOI: https://doi.org/10.1515/fcds-2017-0011 | Journal eISSN: 2300-3405 | Journal ISSN: 0867-6356
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Language: English
Page range: 219 - 237
Published on: Sep 9, 2017
Published by: Poznan University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
3D object detection and recognition,
Kinect,
point cloud analysis,
RGB-D images,
VFH,
CRH,
ICP
Related subjects:
Computer sciences,
Artificial intelligence,
Software development

© 2017 Witold Czajewski, Krzysztof Kołomyjec, published by Poznan University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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