![](/images/graphics-bg.png)
3D Maps Representation Using GNG
Joint Authors
Morell, Vicente
Cazorla, Miguel
Orts-Escolano, Sergio
Garcia-Rodriguez, Jose
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-26
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Current RGB-D sensors provide a big amount of valuable information for mobile robotics tasks like 3D map reconstruction, but the storage and processing of the incremental data provided by the different sensors through time quickly become unmanageable.
In this work, we focus on 3D maps representation and propose the use of the Growing Neural Gas (GNG) network as a model to represent 3D input data.
GNG method is able to represent the input data with a desired amount of neurons or resolution while preserving the topology of the input space.
Experiments show how GNG method yields a better input space adaptation than other state-of-the-art 3D map representation methods.
American Psychological Association (APA)
Morell, Vicente& Cazorla, Miguel& Orts-Escolano, Sergio& Garcia-Rodriguez, Jose. 2014. 3D Maps Representation Using GNG. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1046575
Modern Language Association (MLA)
Morell, Vicente…[et al.]. 3D Maps Representation Using GNG. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1046575
American Medical Association (AMA)
Morell, Vicente& Cazorla, Miguel& Orts-Escolano, Sergio& Garcia-Rodriguez, Jose. 3D Maps Representation Using GNG. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1046575
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1046575