Stereo Map Surface Calculus Optimization Using Radial Basis Functions Neural Network Interpolation

  • Authors:
  • Allan David Araujo;Adriao Duarte Doria Neto;Allan Medeiros Martins

  • Affiliations:
  • Departamento de Engenharia de Computacao e Automacao, Universidade Federal do Rio Grande do Norte, Rio Grande do Norte, Brasil;Departamento de Engenharia de Computacao e Automacao, Universidade Federal do Rio Grande do Norte, Rio Grande do Norte, Brasil;Departamento de Engenharia Eletrica, Universidade Federal do Rio Grande do Norte, Rio Grande do Norte, Brasil

  • Venue:
  • ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part I
  • Year:
  • 2009

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Abstract

Matching two points in distinguished images is one of the actual challenges in digital image processing. The currents techniques of stereo imaging are not ideal and slow, not offering a valuable solution for practical scenarios like real time robotics vision or vehicles navigation. This paper will presents a approach for optimization of disparity calculus, introducing a sparse matching of stereo disparity maps and surface reconstruction by RBFs interpolation of empty spaces.