Abstract: We consider the problem of approximating a smooth surface f(x, y), based on n scattered samples {(x/sub i/, y/sub i/, z/sub i/)/sub i=1//sup n/} ...
We have presented an algorithm generating a good piecewise-linear approximation of a surface over some triangulation from noisy samples. The algorithm pro ...
We demonstrate that even when the sampling process is not noisy, a better approximation for f is obtained using our algorithm, compared to existing methods.
We present an algorithm that generates a PLS (Piecewise Linear Surface) f′, defined on a triangulation of the sample locations V = {(xi, yi)in=1}, approximating ...
An algorithm is presented that generates a PLS (piecewise linear surface) f', defined on a triangulation of the sample locations V, which is useful for DTM ...
We show that 𝛼-functions can be efficiently computed and demonstrate their versatility at the example of surface reconstruction from noisy surface samples.
We introduce α-functions, providing piecewise linear approximation to given data as the difference of two convex functions.
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What is piecewise linear approximation?
This paper presents a new feature compensation approach to noisy speech recognition by using piecewise linear approximation (PLA) of an explicit model of ...
This paper addresses the problem of surface reconstruction of highly noisy point clouds. The surfaces to be reconstructed are as-.
Using the edges of the mesh as input to the proposed weighted linear method and using cylindrical parametrization, the surface shown in Fig. 7c is obtained.
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