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In Image Processing (ICIP), 2009 16th IEEE International Conference on (November 2009), pp. 2361-2364, doi:10.1109/icip.2009.5413749 Key: citeulike:11976314
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Generating accurate three dimensional planetary models is becoming increasingly more important as NASA plans manned missions to return to the moon in the next decade. This paper describes a stereo correspondence system for orbital images and focuses on a novel approach for the sub-pixel refinement of the disparity maps. Our method uses a Bayesian formulation that generalizes the Lucas-Kanade method for optimal matching between stereo pair images. This approach reduces significantly the pixel locking effect of the earlier methods and reduces the influence of image noise. The method is demonstrated on a set of high resolution scanned images from the Apollo era missions.
It is a Bayesian generalization of Lucas-Kanade, which incorporates the noise of the patches.
Doing so it reduces the "pixel locking" effects usual within subpixel refinement algorithms.
The algorithm estimates the ML affine parameters and noise variance using EM.
See also [8].
**The model is not convincing, although the results are good.**
[8] Andrew Stein, Andres Huertas, and Larry Matthies. Attenuating stereo pixel-locking via affine window adaptation. In IEEE Inter- national Conference on Robotics and Automation, pages 914 – 921, May 2006. ->
Affine Lucas-Kanade for every pixel of the stereo pair, reduces pixel locking.
The LK windows can be weighted according to the initial (pixel) disparity to avoid considering occluded pixels.
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