Automatic Feature Extraction from 3D Range Images of Skulls

  • Authors:
  • Lucia Ballerini;Marcello Calisti;Oscar Cordón;Sergio Damas;Jose Santamaría

  • Affiliations:
  • European Centre for Soft Computing, Edf. Científico Tecnológico, Mieres, Spain;Dpt. of Electronics and Telecommunication, University of Florence, Florence, Italy;European Centre for Soft Computing, Edf. Científico Tecnológico, Mieres, Spain;European Centre for Soft Computing, Edf. Científico Tecnológico, Mieres, Spain;Dpt. of Computer Science, University of Jaén, Jaén, Spain

  • Venue:
  • IWCF '08 Proceedings of the 2nd international workshop on Computational Forensics
  • Year:
  • 2008

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Abstract

The extraction of a representative set of features has always been a challenging research topic in image analysis. This interest is even more important when dealing with 3D images. The huge size of these datasets together with the complexity of the tasks where they are needed demand new approaches to the feature extraction problem. The need of an automatic procedure is specially important in many forensic applications, including the reconstruction of 3D models. In this work we propose a new method to automatically extract a set of relevant features from points clouds acquired by a 3D range scanner. We present our results over five views of five skulls, one of them corresponding to a pathological case.