Shuang Chen, Herbert Freeman
International Journal of Pattern Recognition and Artificial Intelligence
Gestures are hand-drawn strokes that do things. These things happen at distinctive places on the stroke. We built a gesture input filter and recognizer. The input filter is fast, because it does few computations per input point, because it can omit pre-filter data smoothing, and because wild points caused by hardware glitches are removed at the few output points of the filter, not at the many input points. The recognizer is a novel combination of two traditional techniques; angle filtering and multiscale recognition. Because an angle filter does not produce well-behaved scaled output, the multi-scale treatment had to be unusual. © 1991.
Shuang Chen, Herbert Freeman
International Journal of Pattern Recognition and Artificial Intelligence
Saurabh Paul, Christos Boutsidis, et al.
JMLR
Arthur Nádas
IEEE Transactions on Neural Networks
Paula Harder, Venkatesh Ramesh, et al.
EGU 2023