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The determination of the disparity map is formulated as a minimisation problem in which we look to minimise the overall matching costs between corresponding pixels.
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The error mapping function is formulated with a goal that enables the source errors affecting the uncompensatable pose error to be found.
A final composite potential map was formulated, that if its identified high potential areas are adopted for expansion of UGS, the above shortcomings could be rectified.
The evaluation criterion for sub-pixel inundation mapping is formulated.
The nonlinear mapping is formulated by (1.2). for The problem of weak solutions defined as follows, concerned with, which was considered in [10] to give the priori estimate for weak solutions.
First, the application mapping problem is formulated as a quadratic binary programming problem, which aims to minimize the communication energy; we apply a relaxation-based iterative rounding algorithm to solve it.
In [ 80] the following condition (below referred to as the "tofig-condition") on mapping f is formulated.
The direct map in our method is formulated as the minimizer of a flexible variational energy under landmark constraints.
The map representation and building process is formulated, fully implemented and successfully experimented in different indoor environments with different robots.
The GLO design task is formulated as mapping the problem domain model on the solution domain model.
The local summing map of the k-th region is formulated as begin{array}rcl@ Z_{k}=sumlimits_{m=1}^{M}{z_{k}^{m}}/M end{array} (4).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com