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Lomker, F. and Sagerer, G.
ABSTRACT
A multimodal system for acquiring new objects, updating already known ones, and searching for them is presented. The system is able to learn objects and associate them to speech received from a speech recogniser in a natural and convenient fashion. The learning and retrieval process takes into account information gained from multiple attributes calculated from an image recorded by a standard video camera, from deictic gestures, and from information of a dialog based conversation. Histogram intersection and subgraph matching on segmented color regions are used as attributes. 
ECVision indexed and annotated bibliography of cognitive computer vision publications
This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1
The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
A Multimodal System for Object LearningSite generated on Friday, 06 January 2006