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A Neural Algorithm for Object Positioning in 3D Space Using Optoelectronic System

  • Iuri Frosio
  • Giancarlo Ferrigno
  • N. Alberto Borghese

Abstract

Automatic object positioning in 3D space is nowadays required by a great variety of applications. We propose here a new approach to this problem, whose core is constituted by a bank of neural networks; from the measured positions of a set of laser spots generated on the object surface, the nets estimate the position of a set of points rigidly connected to the object. Results on synthetic data are reported, and show that the proposed method is reliable and comparable in accuracy with the most common solutions present in the literature, which are based on Iterative Closest Point (ICP) matching.

Keywords

Object positioning 3D space neural bank 

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Copyright information

© Springer 2005

Authors and Affiliations

  • Iuri Frosio
    • 1
    • 2
  • Giancarlo Ferrigno
    • 2
  • N. Alberto Borghese
    • 1
  1. 1.Laboratory of Human Motion Analysis and Virtual Reality, MAVR, Department of Computer ScienceUniversity of MilanoMilanoItaly
  2. 2.Department of Biomedical EngineeringPolitecnico of MilanoMilanoItaly

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