Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
Cart
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Home
Journals
Cybernetics and Information Technologies
Volume 16 (2016): Issue 6 (December 2016)
Open Access
Depth Data Reconstruction Based on Gaussian Mixture Model
Zhe Li
Zhe Li
,
Chen Ma
Chen Ma
and
Tian-Fan Zhang
Tian-Fan Zhang
| Jan 25, 2017
Cybernetics and Information Technologies
Volume 16 (2016): Issue 6 (December 2016)
Special issue with selection of extended papers from 6th International Conference on Logistic, Informatics and Service Science LISS’2016
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Jan 25, 2017
Page range:
207 - 219
DOI:
https://doi.org/10.1515/cait-2016-0089
Keywords
Depth data
,
point cloud
,
normal vector clustering
,
Gaussian mixture model
,
random sampling consensus algorithm
,
object calibration
,
CAMShift
© 2016 Zhe Li et al., published by De Gruyter Open
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.