\documentstyle{article}
\begin{document}

\centerline{Curvature in Computer Vision}

\vskip 0.3cm

\centerline{Cheri Shakiban}
\centerline{Departament of Mathematics}
\centerline{University of St.Thomas} 
\centerline{St.Paul, MN 55105}
\centerline{USA}
\centerline{Email: c9shakiban@stthomas.edu}

\vskip 0.3cm
 
A new paradigm; the signature curve,  is introduced
and its application for  Object Recognition is discussed.

Euclidean and equi-affine examples are given and
a new approach to the numerical approximation of finding
the signature curves is presented.

Applications to a variety of fundamental issues
in computer vision, including detection of symmetries,
visual tracking, and reconstruction of occlusions is discussed
and presented by a video tape.

\end{document}
