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Segmenting Free-Form 3D Objects by a Function Representation in Spherical Coordinates

  • Olcay Sertel
  • Cem Ünsalan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4263)

Abstract

Segmenting 3D object surfaces is required for various high level computer vision and computer graphics applications. In computer vision, recognizing and estimating poses of 3D objects heavily depend on segmentation results. Similarly, physically meaningful segments of a 3D object may be useful in various computer graphics applications. Therefore, there are many segmentation algorithms proposed in the literature. Unfortunately, most of these algorithms can not perform reliably on free-form objects. In order to segment free-form objects, we introduce a novel method in this study. Different from previous segmentation methods, we first obtain a function representation of the object surface in spherical coordinates. This representation allows detecting smooth edges on the object surface easily by a zero crossing edge detector. Edge detection results lead to segments of the object. We test our method on diverse free-form 3D objects and provide the segmentation results.

Keywords

Edge Detection Function Representation Segmentation Method Segmentation Result Range Image 
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 2006

Authors and Affiliations

  • Olcay Sertel
    • 1
  • Cem Ünsalan
    • 1
  1. 1.Computer Vision Research LaboratoryYeditepe UniversityTurkey

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