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IEEE Transactions on Pattern Analysis and Machine Intelligence
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COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
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ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
A GENERIC FACE REPRESENTATION APPROACH FOR LOCAL APPEARANCE BASED FACE VERIFICATION
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Video-Based Face Recognition Evaluation in the CHIL Project - Run 1
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Automatic modeling for adding new words to a large-vocabulary continuous speech recognition system
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Robotics and Autonomous Systems
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MM '08 Proceedings of the 16th ACM international conference on Multimedia
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Acquiring knowledge about persons is a key functionality for humanoid robots. In a natural environment, the robot not only interacts with different people who he recognizes and who he knows. He will also have to interact with unknown persons, and by acquiring information about them, the robot can memorize these persons and provide extended personalized services. Today, researchers build systems to recognize a person's face, voice and other features. Most of them depend on precollected data. We think that with the given technology it is about time to build a system that collects data autonomously and thus gets to know and learns to recognize persons completely on its own. This paper describes the integration of different perceptual and dialog components and their individual functionality to build a robot that can contact persons, learns their names, and learns to recognize them in future encounters.