Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining Local and Global Image Features for Object Class Recognition
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Improving AdaBoost Based Face Detection Using Face-Color Preferable Selective Attention
IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning
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In this paper, we propose a human augmented cognition system which is realized by a visualizing earphone and a hearing glasses. The visualizing earphone using two cameras and a headphone set in a pair of glasses intreprets both human's intention and outward visual surroundings, and translates visual information into an audio signal. The hearing glasses catch a sound signal such as human voices, and not only finds the direction of sound sources but also recognizes human speech signals. Then, it converts audio information into visual context and displays the converted visual information in a head mounted display device. The proposed two systems includes incremental feature extraction, object selection and sound localization based on selective attention, face, object and speech recogntion algorithms. The experimental results show that the developed systems can expand the limited capacity of human cognition such as memory, inference and decision.