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Polynomial Reconstruction of 3D sampled Curves Using Auxiliary Surface Data

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Author

Summary, in English

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.

Publishing year

2014

Language

English

Publication/Series

2014 IEEE International Conference on Robotics and Automation (ICRA)

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Control Engineering

Keywords

  • Polynomial reconstruction
  • 3D sampled curve
  • point cloud
  • smoothing

Conference name

IEEE International Conference on Robotics and Automation, 2014

Conference date

2014-06-02 - 2014-06-04

Conference place

Hong-Kong, China

Status

Published

Project

  • LU Robotics Laboratory

Research group

  • ELLIIT