Title: Constrained visualization of 2D positive data using modified quadratic shepard method
Authors: Asim, Muhammad Rafiq
Mustafa, Ghulam
Brodlie, Ken
Citation: WSCG '2004: Posters: The 12-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, 2.-6. February 2004, Plzen, p. 9-12.
Issue Date: 2004
Publisher: UNION Agency
Document type: konferenční příspěvek
conferenceObject
URI: http://wscg.zcu.cz/wscg2004/Papers_2004_Poster/H59.pdf
http://hdl.handle.net/11025/926
ISBN: 80-903100-6-0
Keywords: vizualizace;non-negativita;2D pozitivní data;kvadratická Shepardova metoda
Keywords in different language: visualization;non-negativity;2D positive data;quadratic Shepard method
Abstract: This paper is about the visualization of positive data subject to positivity constraint. It presents an algorithm that produces a non-negative graph through scattered positive data sets using Modified Quadratic Shepard method. The objective of positivity has been achieved by scaling of basis functions as far as it is necessary. This method is improved in that it produces the positive graph without much deviation of shapes from the ones due to Modified Quadratic Shepard scheme. The method is developed and implemented as a global scheme.
Rights: © UNION Agency
Appears in Collections:WSCG '2004: Posters

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