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A Complete Confidence Framework for Optical Flow

  • Patricia Márquez-Valle
  • Debora Gil
  • Aura Hernàndez-Sabaté
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7584)

Abstract

Assessing the performance of optical flow in the absence of ground truth is of prime importance for a correct interpretation and application. Thus, in recent years, the interest in developing confidence measures has increased. However, by its complexity, assessing the capability of such measures for detecting areas of poor performance of optical flow is still unsolved.

We define a confidence measure in the context of numerical stability of the optical flow scheme and also a protocol for assessing its capability to discard areas of non-reliable flows. Results on the Middlebury database validate our framework and show that, unlike existing measures, our measure is not biased towards any particular image feature.

Keywords

Optical flow confidence measures sparsification plots error prediction plots 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Patricia Márquez-Valle
    • 1
  • Debora Gil
    • 1
  • Aura Hernàndez-Sabaté
    • 1
  1. 1.Computer Vision CenterEdifici O, Campus UABBarcelonaSpain

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