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Conference Papers Year : 2016

Highly Efficient Surface Normal Integration


The integration of surface normals for the computation of a surface in 3D space is a classic problem in computer vision. However, even nowadays it is still a challenging task to device a method that combines the flexibility to deal with non-trivial computational domains with high accuracy, robustness and computational efficiency. In this paper we propose to use for the first time in the literature Krylov subspace solvers as a main step in tackling the task. While these methods can be very efficient, they may only show their full potential when combined with a numerical preconditioning and even more importantly, a suitable initialization. To address the latter issue we propose to compute this initial state via a recently developed fast marching integrator. Numerical experiments prove the benefits of this novel combination.
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Dates and versions

hal-01535947 , version 1 (09-06-2017)


  • HAL Id : hal-01535947 , version 1
  • OATAO : 16916


Michael Breuss, Yvain Quéau, Martin Bähr, Jean-Denis Durou. Highly Efficient Surface Normal Integration. Conference Algoritmy 2016 (ALGORITMY 2016), Mar 2016, Podbanskè, Slovakia. pp. 204-213. ⟨hal-01535947⟩
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