Title: | Optimal Fuzzy Aggregation of Secondary Attributes in Recognition Problems |
Authors: | Devyatkov, V. Alfimtsev, A. |
Citation: | WSCG '2008: Communication Papers: The 16-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic, February 4 - 7, 2008, p. 33-40. |
Issue Date: | 2008 |
Publisher: | Václav Skala - UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | http://wscg.zcu.cz/wscg2008/Papers_2008/short/!_WSCG2008_Short_final.zip http://hdl.handle.net/11025/11100 |
ISBN: | 978-80-86943-16-9 |
Keywords: | rozpoznávání osob;počítačové vidění;fúze informací;fuzzy integrál |
Keywords in different language: | person recognition;computer vision;information fusion;fuzzy integral |
Abstract: | A method of optimal fuzzy aggregation of secondary attributes in problems of recognizing a person from images is proposed. The primary attribute is a characteristic feature of an object, allowing to distinguish one object from another. The secondary attribute is a result of recognition algorithm, based on primary attributes. Fuzzy integrals of Sugeno and Choquet are used as aggregation operators of secondary attributes. Optimality of aggregation here stands for the selection of the best solution of recognition problem by means of fuzzy integrals. It also indicates conditions, when the use of Sugeno fuzzy integral as an aggregation operator is better than the use of Choquet fuzzy integral in recognition problems. The experiment results are presented. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | WSCG '2008: Communication Papers |
Files in This Item:
File | Description | Size | Format | |
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Devyatkov.pdf | Plný text | 354,15 kB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/11100
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