Abstract | ||
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This paper presents experiments using an adaptive learning componentbased on Radial Basis Function (RBF) networks to tackle theunconstrained face recognition problem using low resolution video information.Firstly, we performed preprocessing of face images to mimicthe effects of receptive field functions found at various stages of the humanvision system. These were then used as input representations toRBF networks that learnt to classify and generalise over different viewsfor a... |
Year | Venue | Keywords |
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1996 | BMVC | receptive field,radial basis function,adaptive learning,face recognition,low resolution |
Field | DocType | Citations |
Facial recognition system,Radial basis function network,Pattern recognition,Radial basis function neural,Activation function,Computer science,Time delay neural network,Artificial intelligence | Conference | 23 |
PageRank | References | Authors |
2.18 | 11 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
jon howell | 1 | 585 | 39.63 |
Hilary Buxton | 2 | 491 | 135.93 |