Free-Shaped Object Recognition Method from Partial Views Using Weighted Cone Curvatures

  • Santiago Salamanca
  • Carlos Cerrada
  • Antonio Adán
  • Jose A. Cerrada
  • Miguel Adán
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3773)


This work presents a method for free-shaped object recognition from its partial views. Consecutive database reductions are achieved in three stages by using effective discriminant features. These features are extracted from the spherical mesh representation used to modeling the partial view and from the view range data itself. The used characteristics are global, which means that they can not represent the views univocally. However, their staged application allows the initial object database to be reduced to selecting just one candidate in the final stage with a high success rate. Yet, the most powerful search reduction is achieved in the first stage where the new Weighted Cone Curvature (WCC) parameter is processed. The work is devoted to describe the overall method making especial emphasis in the WCC feature and its application to partial views recognition. Results with real objects range data are also presented in the paper.


Wave Front Machine Intelligence Range Data Partial Model Iterative Close Point 
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-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Santiago Salamanca
    • 1
  • Carlos Cerrada
    • 2
  • Antonio Adán
    • 3
  • Jose A. Cerrada
    • 2
  • Miguel Adán
    • 4
  1. 1.Escuela de Ingenierías IndustrialesUniversidad de ExtremaduraBadajozSpain
  2. 2.Escuela Técnica Superior de Ingeniería InformáticaMadridSpain
  3. 3.Escuela Superior de InformáticaUniversidad de Castilla La ManchaCiudad RealSpain
  4. 4.Escuela de Ingeniería Técnica AgrícolaUniversidad de Castilla la ManchaCiudad RealSpain

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