A segment-based adaptive algorithm for customized shoe last is proposed. After fitted to be NURBS curves
the regular clouds can be classified into several feature segments. The algorithm performs scaling and deformation to the standard shoe last in accordance with the foot shape. An energy Optimization-based method which can modify the control points and weight factors is proposed to modify the standard shoe last adaptively
in order to realize the Digital customized of shoe last.