DocumentCode :
2890763
Title :
Sketch Understanding using LR Modeling
Author :
Feng, Gui-huan ; SUN, ZHENG-XING
Author_Institution :
State Key Lab for Novel Software Technol., Nanjing Univ.
fYear :
2006
fDate :
13-16 Aug. 2006
Firstpage :
1667
Lastpage :
1672
Abstract :
This article introduces a sketch understanding strategy based on LR modeling of domain knowledge. Compared with other methods, it has two significant features: (1) the usage of domain knowledge. Based on our observation of circuit diagrams, we model each component with an LR grammar, and with the guidance of it, we effectively accomplish the interpretation of a sketch. (2) the ability to handle ambiguous situations. Ambiguity and continuity are the two inherent characteristics of a sketch. As we defined three different levels of fuzzy sets, users can sketch without interruption. Experiment results prove both effectiveness and efficiency of our proposed method
Keywords :
fuzzy set theory; grammars; knowledge based systems; LR modeling; fuzzy sets; sketch understanding; Circuits; Computer science; Cybernetics; Design engineering; Documentation; Engineering drawings; Fuzzy logic; Fuzzy sets; Machine learning; Shape; Sun; User interfaces; Domain Knowledge; Electric Circuit; Fuzzy Logic; LR Modeling; Sketch Understanding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
Type :
conf
DOI :
10.1109/ICMLC.2006.258904
Filename :
4028333
Link To Document :
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