Stable Monotonic Matching for Stereoscopic Vision

  • Radim Šára
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1998)


This paper deals with stable monotonic matching (SMM), which is a generalization of stable matching that includes ordering constraint. The matching algorithm is fast, does not optimize any explicit cost functional, processes one epipolar line at a time, and requires only two parameters for disparity search range.

A designed experiment demonstrates that SMM has no occluding boundary artifacts, that it detects half-occluded regions reliably even if they are wide, and that it rarely misses thin objects in the foreground, unless the ordering is violated. On the other hand, the resulting disparity map is often not dense, especially in weakly textured areas.


Stable Match Stereo Match Maximum Cardinality Epipolar Line Stereoscopic Vision 
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 2001

Authors and Affiliations

  • Radim Šára
    • 1
  1. 1.Faculty of Electrical EngineeringCenter for Machine Perception, Czech Technical UniversityPragueCzech Republic

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