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authorThibaut Horel <thibaut.horel@gmail.com>2012-03-05 02:17:18 -0800
committerThibaut Horel <thibaut.horel@gmail.com>2012-03-05 02:17:18 -0800
commit4777da8bcee956f100dcce83c8d0be565fc693cc (patch)
tree2fc99a72b74bd5d91fb54986f5b1c5ea8f160f4a /abstract.tex
parentc7b48885def36f3965be91c76ec1f54a5d9bf27a (diff)
downloadkinect-4777da8bcee956f100dcce83c8d0be565fc693cc.tar.gz
Some corrections. Adress some of Brano's comments.
Plots are now square Proper separation of captions
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\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}