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Functional Pattern Recognition of 3D Laser Scanned Images of Wood-Pulp Chips

  • Marcos López
  • José M. Matías
  • José A. Vilán
  • Javier Taboada
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4477)

Abstract

We evaluate the appropriateness of applying a functional rather than the typical vectorial approach to a pattern recognition problem. The problem to be resolved was to construct an online system for controlling wood-pulp chip granulometry quality for implementation in a wood-pulp factory. A functional linear model and a functional logistic model were used to classify the hourly empirical distributions of wood-chip thicknesses estimated on the basis of images produced by a 3D laser scanner. The results obtained using these functional techniques were compared to the results of their vectorial counterparts and support vector machines, whose input consisted of several statistics of the hourly empirical distribution. We conclude that the empirical distributions have sufficiently rich functional traits so as to permit the pattern recognition process to benefit from the functional representation.

Keywords

Support Vector Machine Wood Chip Vectorial Model Quality Control System Pattern Recognition Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Marcos López
    • 1
  • José M. Matías
    • 2
  • José A. Vilán
    • 1
  • Javier Taboada
    • 3
  1. 1.Dpt. of Mechanical Engineering 
  2. 2.Dpt. of Statistics and Operations Research 
  3. 3.Dpt. of Natural Resources, University of Vigo, 36310, VigoSpain

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