12:48 Ticket #13 (integrate face classifier with samgar) created by dave
use samgar and general purpose camera image server/face finder/face …
10:25 Ticket #12 (try out LDA for faceclassifier) created by dave
not sure how to do discrimination between more than two classes quickly…
10:23 Ticket #11 (windows build of faceident/faceclassifier) created by dave
using mingw
10:22 Ticket #10 (add scripting language for vision code) created by dave
for rapid prototyping, use swig
10:20 Ticket #9 (add face expression to faceclassifier) created by dave
with suitable yarp interface, probably restricted to smile/anger/sad
10:18 Ticket #8 (optimise faceclassifier) created by dave
profile, simd/multithread matrix mult…
10:15 Ticket #7 (yarp messages for faceclassifier app) created by dave
add yarp interface compatible with faceident
10:14 Ticket #6 (add load/save to faceclassifier) created by dave
10:13 Ticket #5 (find a face database with expression) created by dave
such as AR face database…
10:12 Ticket #4 (write benchmarking howto) created by dave
using the face identification as an example
10:08 Ticket #3 (write yarp interface) closed by dave


11:30 Changeset [111] by dave
benchmarking in faceident


16:45 Changeset [110] by dave
more moving
16:45 Changeset [109] by dave
more moving
16:44 Changeset [108] by dave
more moving
16:44 Changeset [107] by dave
more moving
16:44 Changeset [106] by dave
more moving
16:43 Changeset [105] by dave
moving files…
16:33 Changeset [104] by dave
more sorting out of the benchmark images
14:59 Changeset [103] by dave
removed benchmark output files
14:52 Changeset [102] by dave
added benchmark images from the yale face database, removed the trek ones


14:47 Changeset [101] by dave
added lighting subspace
14:05 Changeset [100] by dave
added missing files
14:03 Changeset [99] by dave
added forgotten files
14:00 Changeset [98] by dave
13:42 Changeset [97] by dave
added the eigen spaces and the rest of the data associated with this, …


15:49 Changeset [96] by dave
Benchmark testing added for the eigen face recognition
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