Discrete polynomial curve fitting in the presence of outliers

Abstract:
This presentation deals with the problem of fitting a discrete polynomial curve
to 2D data in the presence of outliers.  We use a discrete polynomial curve model
achieving connectivity in the discrete space.   We formulate the fitting as
the problem to find parameters of this model that maximize the number of
inliers, i.e., data points contained in the discrete polynomial curve.  We
propose a method guaranteeing inclusion-wise maximality of its obtained
inlier set.
Bio:
Akihiro Sugimoto received his B.E, M.E., and D. Eng. degrees in mathematical 
engineering from the University of Tokyo.
After working at the Hitachi Advanced Research Laboratory, ATR, and Kyoto University,
he joined the National Institute of Informatics, Japan, where he is currently
a Professor.  From 2006 to 2007, he was a visiting professor at Pari-Est University, France. 
He is interested in mathematical methods in engineering.  In particular, his current main
research interests include discrete mathematics, approximation algorithm,
vision geometry,and modeling of human vision.