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arXiv · 1608.07411

An Octree-Based Approach towards Efficient Variational Range Data Fusion

Wadim Kehl·Tobias Holl·Federico Tombari·Slobodan Ilic·Nassir Navab
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Abstract

Volume-based reconstruction is usually expensive both in terms of memory consumption and runtime. Especially for sparse geometric structures, volumetric representations produce a huge computational overhead. We present an efficient way to fuse range data via a variational Octree-based minimization approach by taking the actual range data geometry into account. We transform the data into Octree-based truncated signed distance fields and show how the optimization can be conducted on the newly created structures. The main challenge is to uphold speed and a low memory footprint without sacrificing the solutions' accuracy during optimization. We explain how to dynamically adjust the optimizer's geometric structure via joining/splitting of Octree nodes and how to define the operators. We evaluate on various datasets and outline the suitability in terms of performance and geometric accuracy.

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Wadim Kehl, Tobias Holl, Federico Tombari, Slobodan Ilic, Nassir Navab. 2016-08-26. An Octree-Based Approach towards Efficient Variational Range Data Fusion. https://arxiv.org/abs/1608.07411

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