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A new article is available in IPOL:
<a class="moz-txt-link-freetext" href="http://www.ipol.im/pub/art/2014/97/">http://www.ipol.im/pub/art/2014/97/</a><br>
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Vladimir Kolmogorov, Pascal Monasse, and Pauline Tan, <br>
Kolmogorov and Zabih’s Graph Cuts Stereo Matching Algorithm, <br>
Image Processing On Line, 4 (2014), pp. 220–251. <br>
<a class="moz-txt-link-freetext" href="http://dx.doi.org/10.5201/ipol.2014.97">http://dx.doi.org/10.5201/ipol.2014.97</a><br>
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Abstract<br>
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Binocular stereovision estimates the three-dimensional shape of a
scene from two photographs taken from different points of view. In
rectified epipolar geometry, this is equivalent to a matching
problem. This article describes a method proposed by Kolmogorov and
Zabih in 2001, which puts forward an energy-based formulation. The
aim is to minimize a four-term-energy. This energy is not convex and
cannot be minimized except among a class of perturbations called
expansion moves, in which case an exact minimization can be done
with graph cuts techniques. One noteworthy feature of this method is
that it handles occlusion: The algorithm detects points that cannot
be matched with any point in the other image. In this method
displacements are pixel accurate (no subpixel refinement).<br>
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