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The simulation determines the optimal pair of filters from among 265 filters for a given camera setup.
For a given camera setup and a selected metric, most of the estimation methods selected the same pair of filters.
As we have seen, for a given camera system, different methods selected different filter pairs depending on the estimation method and the evaluation metric.
By determining the observability as a function of acquisition time, we can characterize the way in which the detectability of lesions increases with increasing acquisition time for a given camera.
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For a given pair of camera, a pair of optimal filters is selected using this filter selection algorithm and the secondary criterion through simulation, and the performance is then investigated experimentally.
In [33], the authors presented an efficient camera-tasking approach to minimize the visual hull area (maximal area that could be occupied by objects) for a given number of objects and cameras.
The weighting function in [30] is defined as being proportional to the slope of the camera response function (CRF), indicating how quickly the output pixel intensity of a camera varies for a given input intensity.
In this study, we report on the development of an automated method for designing the optimal camera network for a given cultural heritage building or statue.
For example, while querying for camera q for a given radius r, it is not important to look for a Cj, till, ([d {Omega,q})le R_mathrm{LO}-r]), or([d {Omega,q} ge R_{mathrm{HI}}+r]).
This will decrease the angle, which the camera moves for a given distance your hands wobble.
We provide a framework for designing cata-fisheye cameras where, for a given required panoramic field of view, the framework computes the optimal mirror parameters.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com