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Published Articles >> Table of Contents >> Abstract
1st Canadian Conference on Computer and Robot Vision (CRV'04)
pp. 259-264
Expression Learning and Recognition System for a Family Robot
Tomoki Kobayashi, Gifu University
Yukihiro Ogawa, Gifu Prefectual Research Institute of Manufacturaling Information Technology
Kunihito Kato, Gifu University
Kazuhiko Yamamoto, Gifu University
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CCCRV.2004.1301453
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| Abstract |
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We propose a method of expression learning by imitating the process of a baby’s learning process. A baby cannot know what an expression means but he/she can be affected by the action that people do to him or her, and then he/she remembers this facial expression. In our system, a robot starts learning facial expression by recognizing human actions. Our system detects the face regions and extracts the facial features using four direction features: horizontal, vertical and diagonally in both directions. Previously we used skin-color information for face detection, but this is weak in some environments. So we detect facial regions using template matching this time. We experimented facial expressions recognition compared both methods of face detection. Consequently, the rate of recognition of expression rose in proportion to the amount of data used for learning in both methods.
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 Additional Information
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Citation:
Tomoki Kobayashi, Yukihiro Ogawa, Kunihito Kato, Kazuhiko Yamamoto,
"Expression Learning and Recognition System for a Family Robot,"
crv,
pp. 259-264,
1st Canadian Conference on Computer and Robot Vision (CRV'04),
2004
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