| Title: | Exploiting Eigenvalues of the Hessian Matrix for Volume Decimation |
| Authors: | Hladůvka, Jiří König, Andreas Gröller, Eduard |
| Citation: | WSCG '2001: Conference proceedings: The 9-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2001: University of West Bohemia, Plzen, Czech Republic, February 5.-9., 2001, p. 124-129. |
| Issue Date: | 2001 |
| Publisher: | University of West Bohemia |
| Document type: | konferenční příspěvek conferenceObject |
| URI: | http://wscg.zcu.cz/wscg2001/Papers_2001/Hladuvka_01.pdf.gz http://hdl.handle.net/11025/11260 |
| ISBN: | 80-7082-713-0 |
| ISSN: | 1213-6972 |
| Keywords: | vykreslování;řídká data;Hessova matice;vlastní čísla;Laplaciánův filter;objem |
| Keywords in different language: | rendering;sparse data;Hessian matrix;eigenvalues;Laplacian filter;volume |
| Abstract: | In recent years the Hessian matrix and its eigenvalues became important in pattern recognition. Several algorithms based on the information they provide have been introduced. We recall the relationship between the eigenvalues of Hessian matrix and the 2nd order edge detection filter, show the usefulness of treating them separately and exploit these facts to design a combined threshold operation to generate sparse data sets. |
| Rights: | © University of West Bohemia |
| Appears in Collections: | WSCG '2001: Conference proceedings |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Hladuvka.pdf | Plný text | 1,58 MB | Adobe PDF | View/Open |
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