Kernel Methods for Implicit Surface Modeling

Joachim Giesen, Simon Spalinger, Bernhard Schölkopf

Neural Information Processing Systems · 2004 · 55 citations · 9 references

Concepts

Abstract

We describe methods for computing an implicit model of a hypersurface that is given only by a finite sampling. The methods work by mapping the sample points into a reproducing kernel Hilbert space and then determining regions in terms of hyperplanes.

References

9