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Depth Data Reconstruction Based on Gaussian Mixture Model Cover

Depth Data Reconstruction Based on Gaussian Mixture Model

Cybernetics and Information Technologies
Volume 16 (2016): Issue 6 (December 2016)
By: Zhe Li,  Chen Ma and  Tian-Fan Zhang  
Open Access
|Jan 2017

Authors

DOI: https://doi.org/10.1515/cait-2016-0089 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 207 - 219
Published on: Jan 25, 2017
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Depth data,
point cloud,
normal vector clustering,
Gaussian mixture model,
random sampling consensus algorithm,
object calibration,
CAMShift
Related subjects:
Computer sciences,
Information technology

© 2017 Zhe Li, Chen Ma, Tian-Fan Zhang, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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