When benchmarking an algorithm it is recommendable to use a standard
test data set for researchers to be able to directly compare the
results. While there are many databases in use currently, the choice of
an appropriate database to be used should be made based on the task
given (aging, expressions, lighting etc). Another way is to choose the
data set specific to the property to be tested (e.g. how algorithm
behaves when given images with lighting changes or images with
different facial expressions).
Face Database |
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Index Terms: face, database, databases, AT&T, Yale, Umist, Banca, BioId, Caltech, Cmu, Essex, Viola, Harward, Yale A, Yale B, Mit, Olivetti, Jaffe, Inaoe, Hayes, Feret, Icpr, Oulu, Usenix, Weizmann, YaleA, YaleB, Ucfi, Ucd, Pics.
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Figure 1. Face database |
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A complete list of public face databases available on the web. Last update: 11 Dec. 2006. |
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