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| author | Thibaut Horel <thibaut.horel@gmail.com> | 2012-03-05 02:17:18 -0800 |
|---|---|---|
| committer | Thibaut Horel <thibaut.horel@gmail.com> | 2012-03-05 02:17:18 -0800 |
| commit | 4777da8bcee956f100dcce83c8d0be565fc693cc (patch) | |
| tree | 2fc99a72b74bd5d91fb54986f5b1c5ea8f160f4a /abstract.tex | |
| parent | c7b48885def36f3965be91c76ec1f54a5d9bf27a (diff) | |
| download | kinect-4777da8bcee956f100dcce83c8d0be565fc693cc.tar.gz | |
Some corrections. Adress some of Brano's comments.
Plots are now square
Proper separation of captions
Diffstat (limited to 'abstract.tex')
| -rw-r--r-- | abstract.tex | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/abstract.tex b/abstract.tex index 7aadce0..9386d11 100644 --- a/abstract.tex +++ b/abstract.tex @@ -1,11 +1,11 @@ \begin{abstract} This paper explores a novel approach for person recognition based on skeletal measurements. After showing that exact measurements allow - for exact recognition, we study two algorithmic approaches for + for accurate recognition, we study two algorithmic approaches for identification in case of approximate measurements. A real-life experiment with 25 people and measurements obtained from the Kinect range camera gives us promising results and comparison with state of - the art facial recognition and validates the viability of - skeleton-base identification. + the art facial recognition validates the viability of + skeleton-based identification. \end{abstract} |
