Polar Field Based Implicit Surface Reconstruction

Implicit function based surface reconstruction has been a challenging work for decades in computer graphics field.Motivated by the concept of classic physical polar field model and off-set points strategy,we present a new approach,called field fitting.In this approach,a 3D surface is expressed as an equipotential surface of scalar polar field which is produced by a number of paired field generating primitives,then a surface reconstruction process is cast as a primitive localization process,and finally,this problem is solved with a greedy algorithm.Experimental results demonstrate that the proposed method outperforms the previous by providing better surface reconstruction results.