Because 2013 is 29 years too late.

[sage]

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). If, on the other hand, an algorithm needs to be trained with more images per class (like LDA), Yale face database is probably more appropriate than FERET.
http://www.face-rec.org/databases/

http://www.face-rec.org/

SOS: Students for an Orwellian Society
http://studentsfororwell.org/

[sage]

Coming soon to you!

The privacy concerns around the tracking of consumers and targeted advertising online may be coming to the physical world.

At a Federal Trade Commission workshop about the privacy implications of face recognition on Thursday, all eyes were on the new “Find My Face” feature in Google+, announced at the conference. The event, however, also focused on how face detection is being used offline in “smart sign” technology and other applications.
http://techland.time.com/2011/12/12/...#ixzz2K5IqgbwC


http://daviswiki.org/Students_for_an...t=oldaggie.jpg