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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


Vassilakis, E. and  Howell, A. J. and Buxton, H.
Comparison of Feedforward (TDRBF) and Generative (TDRGBN) Network for Gesture Based Control

ABSTRACT

In Visually Mediated Interaction (VMI) there is a range of tasks that need to be supported (face and gesture recognition, camera controlled by gestures, visual interaction etc). These tasks vary in complexity. Generative and self-organising models may offer strong advantages in cases where a higher degree of generalization is needed. They have the potential of “understanding” the gesture independent from the individual differences on the performance of a gesture. This paper presents a comparison between a feedforward network (RBFN) and a generative one (RGBN) both extended in a time-delay version.


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