  Stationary points of multivariable function which represents some surface
have an important role in many application such as computer vision, chemical
physics, etc. Nevertheless, the dataset describing the surface for which a
sampling function is not known is often given. Therefore, it is necessary to
propose an approach for finding the stationary points without knowledge of the
sampling function.
  In this paper, an algorithm for determining a set of stationary points of
given sampled surface and detecting the bindings between these stationary
points (such as stationary points lie on line segment, circle, etc.) is
presented. Our approach is based on the piecewise RBF interpolation of the
given dataset.
