The imperfect sample points of interpolation based on B-spline suface reconstruction

A novel B-spline surface interpolation algorithm based on particle swarm optimization is proposed to solve surface optimization problem. The core of this paper is that studying the effect of missing sample point data about B-spline surfaces interpolation. First, given sample points are used to interpolate B-spline surfaces, and then after removing some sample points, the remaining sample points are applied to generate a new B-spline surface. Finally, the image and error in previous process are analyzed.