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We have presented an iterative two-phase algorithm for disparity estimation where in phase one, the disparity map is estimated by minimizing our energy function using graph cuts and in phase two, the IGMRF parameters and sparse representation of disparity maps are obtained.
The occlusion map is estimated jointly with the flow field throughout the two steps.
For each image set, the normal map is estimated using the OMP method [21 23] as proposed in this study.
Based on the learned similarity measure, the disparity map is estimated using state-of-the-art local stereo methods.
The approach is applied to a truck engine in which an air mass-flow sensor adaptation map is estimated during a European transient cycle.
The method is applied to a truck engine where an air mass-flow sensor adaptation map is estimated based on data from a diesel engine during an ETC.
Similar(47)
The estimated genome length (Gest) of the consensus map was estimated with the commonly used Hulbert estimate [ 70].
The cognitive limit for reading a metropolitan map was estimated to be on the order of 8 bits a limit already exceeded by some large cities.
The neural generators for a given mean EP map were estimated by using a distributed linear inverse solution, based on a local auto-regressive average (LAURA) model [41].
In the original assignment by Fleishman and coworkers [11], the relative rotation angles of the α helices fitted into the density map were estimated by analysis of evolutionary conservation and hydrophobicity of amino-acid residues.
A common linkage map was estimated using Crimap [ 12].
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