Abstract | ||
---|---|---|
This paper presents experiments using a radial basis function variant of thetime-delay neural network with image sequences of human faces. The network isshown to be able to learn simple behaviours based on y-axis head rotationand generalise on different data. The network model‘s suitability forfuture dynamic vision applications is discussed. |
Year | DOI | Venue |
---|---|---|
1997 | 10.1023/A:1009657807312 | Neural Processing Letters |
Keywords | Field | DocType |
face recognition,image sequences,RBF networks,temporal behaviours,time-delay networks,view invariance,vision | Facial recognition system,Radial basis function,Computer science,Time delay neural network,Artificial intelligence,Artificial neural network,Machine learning,Network model | Journal |
Volume | Issue | ISSN |
5 | 2 | 1573-773X |
Citations | PageRank | References |
10 | 0.91 | 11 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
jon howell | 1 | 585 | 39.63 |
Hilary Buxton | 2 | 491 | 135.93 |