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Matching Tensors for Automatic Correspondence and Registration

  • Ajmal S. Mian
  • Mohammed Bennamoun
  • Robyn Owens
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3022)

Abstract

Complete 3-D modeling of a free-form object requires acquisition from multiple view-points. These views are then required to be registered in a common coordinate system by establishing correspondence between them in their regions of overlap. In this paper, we present an automatic correspondence technique for pair-wise registration of different views of a free-form object. The technique is based upon a novel robust representation scheme reported in this paper. Our representation scheme defines local 3-D grids over the object’s surface and represents the surface inside each grid by a fourth order tensor. Multiple tensors are built for the views which are then matched, using a correlation and verification technique to establish correspondence between a model and a scene tensor. This correspondence is then used to derive a rigid transformation that aligns the two views. The transformation is verified and refined using a variant of ICP. Our correspondence technique is fully automatic and does not assume any knowledge of the viewpoints or regions of overlap of the data sets. Our results show that our technique is accurate, robust, efficient and independent of the resolution of the views.

Keywords

Iterate Close Point Mesh Resolution Model Tensor Fourth Order Tensor Triangular Facet 
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 2004

Authors and Affiliations

  • Ajmal S. Mian
    • 1
  • Mohammed Bennamoun
    • 1
  • Robyn Owens
    • 1
  1. 1.School of Computer Science and Software EngineeringThe University of Western AustraliaCrawleyAustralia

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