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Some archeologists now say that when they dig up the remains of lost civilizations they are not just reconstructing objects but reconstructing minds.
This article discusses the reverse engineering problem of reconstructing objects with planar faces.
During reconstructing objects with complex shapes, 3D object surfaces are anticipated with an elaborate description to surface features and a fast acquiring speed.
The request for designing or reconstructing objects from planar cross sections arises in various applications, ranging from CAD to GIS and Medical Imaging.
This is because, as expected, our method succeeds at well reconstructing objects belonging to the foreground.
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This inaccuracy will result mismatching problem that affects the measurement result when reconstructing object.
This is a simple and accurate method to reconstruct objects from point clouds obtained from multiple overlapping views using low-cost sensors.
Application of the linear sampling method to the Finite Difference Time Domain solution is described and illustrated, and results to reconstruct objects in the through-the-wall setting are shown.
An example of this approach is Total Variation minimization, which can be used to accurately reconstruct objects that have a sparse gradient in a wide variety of applications [11, 12].
To three-dimensionally reconstruct objects in vector-based systems, mating contours from at least two consecutive sections are required.
It is clear that if only modulation in one direction along the output plane is used, we can not reconstruct objects which are degenerate along that direction.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com