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The mathematical programming (MP) methods which solve the continuous sub-problems provide only one local optimum which depends strongly on the initialization.
The purpose of this strategy is to avoid the dependency of the comparison on the initialization which might have been chosen in favor of one of the algorithmsh.
Further details on the initialization procedure are reported in [1].
First, a standard NLM is computed based on the initialization data of the optimization problem.
The blue line links the data used on the initialization of the active learning after forty-eight instances, in percentage.
The proposed method relies on the initialization provided by a rough 3D model of the scene estimated from the given set of multi-view images.
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The success of these methods, however, depends mainly on the quality of the representation of candidate solutions, on the efficiency of the initialization procedure and on the suitability of the modification operators used.
On completion of the initialization process CINM will issue a DONE signal.
The processing time of the initialization task depends on: The number of landmarks being initialized.
Based on this algorithm, the initialization of the detector is made using the LMP test.
However, the LBF model has a large dependency on the contour initialization; especially if the initial position of the contour is far away from the objects, the LBF model may be prone to getting stuck in local minima.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com