DocumentCode :
2211209
Title :
A kernel approach to gamut boundary computation
Author :
Giesen, Joachim ; Schuberth, Eva ; Simon, Klaus ; Zolliker, Peter
Author_Institution :
Inst. for Theor. Comput. Sci., ETH Zurich, Zurich, Switzerland
fYear :
2006
fDate :
4-8 Sept. 2006
Firstpage :
1
Lastpage :
4
Abstract :
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.
Keywords :
image colour analysis; image sampling; shape recognition; 3D Euclidean space; gamut boundary computation; image gamut; kernel based method; point cloud; Abstracts; Kernel; Measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2006 14th European
Conference_Location :
Florence
ISSN :
2219-5491
Type :
conf
Filename :
7071026
Link To Document :
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