Title: Gradient Vector Estimation Using Quadratic Regression Function
Authors: Jirka, Tomáš
Skala, Václav
Citation: International Conference on Computer Vision and Graphics, p. 380-386.
Issue Date: 2002
Publisher: Silesian University of Technology
Document type: konferenční příspěvek
URI: http://hdl.handle.net/11025/11693
ISBN: 8391768309
Keywords: odhad gradientu;lineární regrese;fukce kvadratické aproximace;konečné diference
Keywords in different language: gradient estimation;linear regression;quadratic approximation function;finite differences
Abstract: An extension of 4D linear regression method for scalar iregularly distributed volumetric data gradient estimation will be presented here. The aim is to reach higher accuracy and the main tool is using quadratic regression function. The results will be compared to the original method as well as to the approach based on generalization of the finite differences method. The performance of all the three method will be examined from different points of view.
Appears in Collections:Konferenční příspěvky / Conference Papers (KIV)

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