Have a personal or library account? Click to login
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
DOI: https://doi.org/10.1515/fcds-2017-0011 | Journal eISSN: 2300-3405 | Journal ISSN: 0867-6356
Journal RSS Feed
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.

Previous articleVolume 42 (2017): Issue 3 (September 2017)Next article