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Efficient Closed-Form Solution to Generalized Boundary Detection

  • Marius Leordeanu
  • Rahul Sukthankar
  • Cristian Sminchisescu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7575)

Abstract

Boundary detection is essential for a variety of computer vision tasks such as segmentation and recognition. We propose a unified formulation for boundary detection, with closed-form solution, which is applicable to the localization of different types of boundaries, such as intensity edges and occlusion boundaries from video and RGB-D cameras. Our algorithm simultaneously combines low- and mid-level image representations, in a single eigenvalue problem, and we solve over an infinite set of putative boundary orientations. Moreover, our method achieves state of the art results at a significantly lower computational cost than current methods. We also propose a novel method for soft-segmentation that can be used in conjunction with our boundary detection algorithm and improve its accuracy at a negligible extra computational cost.

Keywords

Window Size Boundary Detection Image Channel Window Center Occlusion Boundary 
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 2012

Authors and Affiliations

  • Marius Leordeanu
    • 1
  • Rahul Sukthankar
    • 3
    • 4
  • Cristian Sminchisescu
    • 2
    • 1
  1. 1.Institute of Mathematics of the Romanian AcademyRomania
  2. 2.Faculty of Mathematics and Natural ScienceUniversity of BonnGermany
  3. 3.Google ResearchUSA
  4. 4.Carnegie Mellon UniversityUSA

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