A natural-language-based 3D-CG system with shape estimation for unknown words

We have been developing a system for creating three dimensional computer graphics (3D-CG) that can accept natural-language sentences as an input, in addition to the mouse and pen-tablet inputs. Our system is unique in that when it does not know the shape of a noun used in the input sentence, it can...

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Bibliographic Details
Published inSICE Annual Conference 2011 pp. 2847 - 2850
Main Authors Nakahata, A., Itoh, H., Fukumoto, H., Wakuya, H., Furukawa, T.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2011
Subjects
Blender
Buildings
Computer graphics
Electronic mail
Estimation
Shape
similarity measure
three dimensional computer graphics
Three dimensional displays
user interface
WordNet
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Summary:We have been developing a system for creating three dimensional computer graphics (3D-CG) that can accept natural-language sentences as an input, in addition to the mouse and pen-tablet inputs. Our system is unique in that when it does not know the shape of a noun used in the input sentence, it can estimate the shape by consulting the WordNet lexical database. In the present study, we have improved our system so that it can understand a wider variety of words and sentences than the previous system. We have also compared the performance of six different methods for the shape estimation.
ISBN:9781457707148
1457707144