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JACIII Vol.14 No.6 pp. 606-615
doi: 10.20965/jaciii.2010.p0606
(2010)

Paper:

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Interactive Learning of Verbal Descriptors Meanings for Face Drawing System

Hafida Benhidour and Takehisa Onisawa

Graduate School of Systems and Information Engineering, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8573, Japan

Received:
August 25, 2009
Accepted:
June 1, 2010
Published:
September 20, 2010
Creative Commons License
Keywords:
face drawing, linguistic terms, Gaussian fuzzy sets, maximum likelihood estimation
Abstract
This paper presents an approach for online learning of descriptors meanings in the Face Drawing System with verbal descriptors. The targeted descriptors are those describing the size of the facial features. The users of the system have the possibility to draw faces using linguistic terms and retouch the features of the drawn face using a combination of an adverb and a linguistic descriptor until the desired face is obtained. The system learns interactively the meanings of the terms from the retouches made by the user on the drawn face. For the current user, the system interactively learns the meanings of the descriptors using the proposed algorithm for online learning of Gaussian fuzzy sets approach based on the Maximum Likelihood Estimation (MLE) of Gaussian mixture. The system then adjusts the drawn face according to the new meaning of the descriptors.
Cite this article as:
H. Benhidour and T. Onisawa, “Interactive Learning of Verbal Descriptors Meanings for Face Drawing System,” J. Adv. Comput. Intell. Intell. Inform., Vol.14 No.6, pp. 606-615, 2010.
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