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