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| author | Jon Whiteaker <jbw@berkeley.edu> | 2012-09-16 17:16:29 -0700 |
|---|---|---|
| committer | Jon Whiteaker <jbw@berkeley.edu> | 2012-09-16 17:16:29 -0700 |
| commit | 9027a65ae09126a537a894e8236b73d621183752 (patch) | |
| tree | d8da033c18f4b5e420a8efe584e55e841a8b5819 /experimental.tex | |
| parent | 0055932482314ec42fb7a090aa72ce1ad79e30b2 (diff) | |
| download | kinect-9027a65ae09126a537a894e8236b73d621183752.tar.gz | |
removed names for anonymous submission and balanced refs
Diffstat (limited to 'experimental.tex')
| -rw-r--r-- | experimental.tex | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/experimental.tex b/experimental.tex index 8133ec1..bda7040 100644 --- a/experimental.tex +++ b/experimental.tex @@ -328,7 +328,7 @@ show similar performance when there is no visible light. For the final experiment, we explore the potential of skeleton recognition with a higher resolution depth camera, as has been speculated for the Kinect -2~\footnote{\url{http://www.eurogamer.net/articles/2011-11-25-kinect-2-so-accurate-it-can-lip-read}}. +2~\footnote{\url{http://www.eurogamer.net/articles/2011-11-25-kinect-2-so-accurate-it}\\\url{-can-lip-read}}. Since a higher resolution camera is not readily available, we simulate a higher resolution by artificially reducing the noise from our Kinect dataset. %Predicting potential improvements of the prediction rate of our |
