A kernel approach to gamut boundary computation

We present a kernel based method to associate an image gamut given as a point cloud in three-dimensional Euclidean space with a continuous shape. The shape we compute is implicitly given as the zero-set of a smooth function that we compute from the point cloud using an efficient optimization method....

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Bibliographic Details
Main Authors: Giesen, Joachim, Schuberth, Eva, Simon, Klaus, Zolliker, Peter
Format: Conference Proceeding
Language:English
Subjects:
Abstracts
Kernel
Measurement
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Summary:We present a kernel based method to associate an image gamut given as a point cloud in three-dimensional Euclidean space with a continuous shape. The shape we compute is implicitly given as the zero-set of a smooth function that we compute from the point cloud using an efficient optimization method. The feasibility of our approach is demonstrated on a couple of examples.
ISSN:2219-5491
2219-5491