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Texture Boundary Detection for Real-Time Tracking

  • Ali Shahrokni
  • Tom Drummond
  • Pascal Fua
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3022)

Abstract

We propose an approach to texture boundary detection that only requires a line-search in the direction normal to the edge. It is therefore very fast and can be incorporated into a real-time 3–D pose estimation algorithm that retains the speed of those that rely solely on gradient properties along object contours but does not fail in the presence of highly textured object and clutter.

This is achieved by correctly integrating probabilities over the space of statistical texture models. We will show that this rigorous and formal statistical treatment results in good performance under demanding circumstances

Keywords

Hide Markov Model Texture Segmentation Cluttered Background Detect Change Point Texture Object 
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

  • Ali Shahrokni
    • 1
  • Tom Drummond
    • 2
  • Pascal Fua
    • 1
  1. 1.Computer Vision LaboratoryEPFLLausanneSwitzerland
  2. 2.Department of EngineeringUniversity of CambridgeCambridge

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