Resumen de Multivariate spline approximation of the signed distance function

Ren-hong Wang, Qing-Jie Guo, Chun-Gang Zhu, Chun-Jing Li

• The signed distance function can effectively support many geometry processing tasks such as decimates, smoothing and shape reconstruction since it provides efficient access to distance estimates. In this paper, we present an adaptive method to approximate the signed distance function of a smooth curve by using polynomial splines over type-2 triangulation.

  The trimmed offsets are also studied.