Signed 3D distance fields are used a in a variety of domains. From shape modelling to surface registration. They are typically computed based on sampled point sets. If the input point set contains holes, the behaviour of the zero-level surface of the distance field is not well defined. In this paper, a novel regularisation approach is described. It is based on energy formulation, where both local smoothness and data fidelity are included. The minimisation of the global energy is shown to be the solution of a large set of linear equations. The solution to the linear system is found by sparse Cholesky factorisation. It is demonstrated that the zero-level surface will act as a membrane after the proposed regularisation. This effectively closes holes in a predictable way. Finally, the performance of the method is tested with a set of synthetic point clouds of increasing complexity.
|Title of host publication||Proceedings of the 16th Scandinavian Conference on Image Analysis|
|Publication status||Published - 2009|
|Event||16th Scandinavian Conference on Image Analysis (SCIA) - Oslo, Norway|
Duration: 15 Jun 2009 → 18 Jun 2009
|Conference||16th Scandinavian Conference on Image Analysis (SCIA)|
|Period||15/06/2009 → 18/06/2009|
|Series||Lecture Notes in Computer Science|