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Detekcija dominantnih ravnih površina na slikama dispariteta na temelju slučajnog uzorkovanja

Authors
Publisher
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek; [email protected]
Publication Date
Keywords
  • Detekcija Ravnih Površina
  • Ransac
  • Segmentacija Slike
  • Image Segmentation
  • Planar Surface Detection
  • Ransac
Disciplines
  • Computer Science

Abstract

In this paper, the applicability of RANSAC-approach to planar surface detection in disparity images obtained by stereo vision is investigated. This study is specially focused on application in indoor environments, where many of the dominant surfaces are uniformly colored, which poses additional difficulties to stereo vision. Several simple modifications to the basic RANSAC-algorithm are examined and improvements achieved by these modifications are evaluated. Two simple performance measures for evaluating the accuracy of planar surface detection are proposed. An experimental study is performed using images acquired by a stereo vision system mounted on a mobile robot moving in an indoor environment.

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