Title :
Retrieving faces using adaptive subspace self-organising map
Author_Institution :
Comput. Vision & Machine Intelligence Lab., Melbourne Univ., Vic., Australia
Abstract :
We present the adaptive manifold self-organising map (AMSOM) for a face retrieval system. Our experimental results show that it has an excellent potential for face retrieval applications. As compared to the more traditional sub-space self-organising map, the results in many cases are better
Keywords :
adaptive systems; face recognition; image retrieval; self-organising feature maps; adaptive manifold self-organising map; adaptive subspace self-organising map; face retrieval system; Computer vision; Data mining; Detectors; Face detection; Face recognition; Feature extraction; Gabor filters; Lattices; Neurons; Vectors;
Conference_Titel :
Intelligent Multimedia, Video and Speech Processing, 2001. Proceedings of 2001 International Symposium on
Conference_Location :
Hong Kong
Print_ISBN :
962-85766-2-3
DOI :
10.1109/ISIMP.2001.925412
