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| author | Thibaut Horel <thibaut.horel@gmail.com> | 2012-03-05 14:34:54 -0800 |
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| committer | Thibaut Horel <thibaut.horel@gmail.com> | 2012-03-05 14:34:54 -0800 |
| commit | 898a85e9d27cac39f403a9a499ea49578a856f4f (patch) | |
| tree | 2501910f1d4aec0123804d0fe5ab76714758f00f /related.tex | |
| parent | 75bdb4858889f2af6e074ed9448b6ded1a81cbc4 (diff) | |
| download | kinect-898a85e9d27cac39f403a9a499ea49578a856f4f.tar.gz | |
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| -rw-r--r-- | related.tex | 2 |
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diff --git a/related.tex b/related.tex index f6ac87f..a7fd7e3 100644 --- a/related.tex +++ b/related.tex @@ -64,7 +64,7 @@ human body part identification or pose estimation respectively in this context~\cite{plagemann:icra10,ganapathi:cvpr10,shotton:cvpr11}. Furthermore, OpenNI~\cite{openni} and the Kinect for Windows SDK~\cite{kinect-sdk} are two systems that perform figure detection and skeleton fitting for the Kinect. -Given the maturity of the solutions, we will use implementations of figure +Given the maturity of the solutions, we will use existing implementations of figure detection and skeleton fitting. Therefore this paper will focus primarily on the classification part of skeleton recognition. |