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Polynomial Reconstruction of 3D sampled Curves Using Auxiliary Surface Data

Bagge Carlson, Fredrik LU ; Vuong, Ngoc Dung and Johansson, Rolf LU (2014) IEEE International Conference on Robotics and Automation, 2014
Abstract
This paper proposes a method for structural enhancement of a 3D sampled curve. The curve is assumed to be organized, but corrupted with low frequency noise. The proposed method approaches the notion of curve reconstruction in a novel way, where information about the structure in a scanned surface is used to reconstruct the curve. Principal Component Analysis is carried out on successive neighborhoods along the curve to estimate reduced dimensionality spaces, which allows polynomial reconstruction. The effectiveness of the proposed method is verified by both simulations and experiments.
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Polynomial reconstruction, 3D sampled curve, point cloud, smoothing
host publication
2014 IEEE International Conference on Robotics and Automation (ICRA)
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Conference on Robotics and Automation, 2014
conference location
Hong-Kong, China
conference dates
2014-06-02 - 2014-06-04
external identifiers
  • scopus:84929192110
DOI
10.1109/ICRA.2014.6907502
project
LU Robotics Laboratory
language
English
LU publication?
yes
id
2ab5fef3-6ed9-4893-8848-dfd66f4dd078 (old id 4529872)
date added to LUP
2016-04-04 13:42:16
date last changed
2020-01-13 00:19:04
@inproceedings{2ab5fef3-6ed9-4893-8848-dfd66f4dd078,
  abstract     = {This paper proposes a method for structural enhancement of a 3D sampled curve. The curve is assumed to be organized, but corrupted with low frequency noise. The proposed method approaches the notion of curve reconstruction in a novel way, where information about the structure in a scanned surface is used to reconstruct the curve. Principal Component Analysis is carried out on successive neighborhoods along the curve to estimate reduced dimensionality spaces, which allows polynomial reconstruction. The effectiveness of the proposed method is verified by both simulations and experiments.},
  author       = {Bagge Carlson, Fredrik and Vuong, Ngoc Dung and Johansson, Rolf},
  booktitle    = {2014 IEEE International Conference on  Robotics and Automation (ICRA)},
  language     = {eng},
  publisher    = {IEEE - Institute of Electrical and Electronics Engineers Inc.},
  title        = {Polynomial Reconstruction of 3D sampled Curves Using Auxiliary Surface Data},
  url          = {https://lup.lub.lu.se/search/ws/files/35639354/4529873.pdf},
  doi          = {10.1109/ICRA.2014.6907502},
  year         = {2014},
}