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- W2315607136 abstract "If computers and robots can feel glad or sad, and if they have emotion, human beings feel a sense of closeness to computers in communication with them. It has been observed thatt the facial expression is very important for the communication between people. A more friendly human interface may be realized by computers having the facial expression. As a part of this idea, in this paper, we propose a method for the expression synthesis by drawing caricatures. A neural network is applied for the recognition of facial expression. The characteristic quantities for drawing caricatures are calculated on the basis of the results of recognition. Accordingly, it seems to be able to draw more expressive caricature. Ekman states that basic facial expression are categorized into 6 groups, “happiness”, “surprise”, “anger”, “fear”, “disgust”, “sadness”. We deal with 6 categorized expressions as results of recognition. Computers draw a caricature by using the spline interpolation for the calculated characteristic points." @default.
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- W2315607136 date "2000-01-01" @default.
- W2315607136 modified "2023-10-16" @default.
- W2315607136 title "An Expression Synthesis in Caricaturing" @default.
- W2315607136 doi "https://doi.org/10.9746/sicetr1965.36.448" @default.
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