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Highly Efficient Surface Normal Integration

Abstract : 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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Submitted on : Friday, June 9, 2017 - 5:29:08 PM
Last modification on : Thursday, June 10, 2021 - 3:08:24 AM
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  • 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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