NDLI: 3D colour object reconstruction based on Growing Neural Gas

Content Provider	IEEE Xplore Digital Library
Author	Orts-Escolano, S. Garcia-Rodriguez, J. Moreli, V. Cazorla, M. Garcia-Chamizo, J.M.
Copyright Year	2014
Description	Author affiliation: Comput. Sci. & Artificial Intell. Dept., Univ. of Alicante, Alicante, Spain (Moreli, V.; Cazorla, M.) \|\| Dept. of Comput. Technol., Univ. of Alicante, Alicante, Spain (Orts-Escolano, S.; Garcia-Rodriguez, J.; Garcia-Chamizo, J.M.)
Abstract	With the advent of low-cost 3D sensors and 3D printers, surface reconstruction has become an important research topic in the last years. In this work, we propose an automatic method for 3D surface reconstruction from raw unorganized point clouds acquired using low-cost sensors. We have modified the Growing Neural Gas (GNG) network, which is a suitable model because of its flexibility, rapid adaptation and excellent quality of representation, to perform 3D surface reconstruction of different real-world objects. Some improvements have been made on the original algorithm considering colour information during the learning stage and creating complete triangular meshes instead of basic wire-frame representations. The proposed method is able to create 3D faces online, whereas existing 3D reconstruction methods based on Self-Organizing Maps (SOMs) required post-processing steps to close gaps and holes produced during the 3D reconstruction process. Performed experiments validated how the proposed method improves existing techniques removing post-processing steps and including colour information in the final triangular mesh.
Starting Page	1474
Ending Page	1481
File Size	5824021
Page Count	8
File Format	PDF
ISSN	21614407
e-ISBN	9781479914845
DOI	10.1109/IJCNN.2014.6889546
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three-dimensional displays Neurons Color Surface reconstruction Solid modeling Interpolation Sensors
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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