A review of recent range image registration methods with accuracy evaluation

  • Authors:

  • Joaquim Salvi;Carles Matabosch;David Fofi;Josep Forest

  • Affiliations:

  • Institute of Informatics and Applications, University of Girona, Av. Lluis Santalo s/n, 17071 Girona, Spain;Institute of Informatics and Applications, University of Girona, Av. Lluis Santalo s/n, 17071 Girona, Spain;Laboratoire Electronique, Informatique et Image, University of Burgundy, rue de la Fonderie 12, 71200 Le Creusot, France;Institute of Informatics and Applications, University of Girona, Av. Lluis Santalo s/n, 17071 Girona, Spain

  • Venue:
  • Image and Vision Computing
  • Year:
  • 2007

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Abstract

The three-dimensional reconstruction of real objects is an important topic in computer vision. Most of the acquisition systems are limited to reconstruct a partial view of the object obtaining in blind areas and occlusions, while in most applications a full reconstruction is required. Many authors have proposed techniques to fuse 3D surfaces by determining the motion between the different views. The first problem is related to obtaining a rough registration when such motion is not available. The second one is focused on obtaining a fine registration from an initial approximation. In this paper, a survey of the most common techniques is presented. Furthermore, a sample of the techniques has been programmed and experimental results are reported to determine the best method in the presence of noise and outliers, providing a useful guide for an interested reader including a Matlab toolbox available at the webpage of the authors.