Shading-based refinement on volumetric signed distance functions

Beitrag in einer Fachzeitschrift
(Originalarbeit)


Details zur Publikation

Autor(en): Zollhöfer M, Dai A, Innmann M, Wu C, Theobald C, Nießner M, Stamminger M
Zeitschrift: ACM Transactions on Graphics
Verlag: Association for Computing Machinery
Jahr der Veröffentlichung: 2015
Band: 34
Heftnummer: 4
ISSN: 1557-7368


Abstract


We present a novel method to obtain fine-scale detail in 3D reconstructions generated with low-budget RGB-D cameras or other commodity scanning devices. As the depth data of these sensors is noisy, truncated signed distance fields are typically used to regularize out the noise, which unfortunately leads to over-smoothed results. In our approach, we leverage RGB data to refine these reconstructions through shading cues, as color input is typically of much higher resolution than the depth data. As a result, we obtain reconstructions with high geometric detail, far beyond the depth resolution of the camera itself. Our core contribution is shading-based refinement directly on the implicit surface representation, which is generated from globally-aligned RGB-D images. We formulate the inverse shading problem on the volumetric distance field, and present a novel objective function which jointly optimizes for fine-scale surface geometry and spatially-varying surface reflectance. In order to enable the efficient reconstruction of sub-millimeter detail, we store and process our surface using a sparse voxel hashing scheme which we augment by introducing a grid hierarchy. A tailored GPU-based Gauss-Newton solver enables us to refine large shape models to previously unseen resolution within only a few seconds.


FAU-Autoren / FAU-Herausgeber

Innmann, Matthias
Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung)
Stamminger, Marc Prof. Dr.
Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung)
Zollhöfer, Michael
Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung)


Autor(en) der externen Einrichtung(en)
Stanford University


Zitierweisen

APA:
Zollhöfer, M., Dai, A., Innmann, M., Wu, C., Theobald, C., Nießner, M., & Stamminger, M. (2015). Shading-based refinement on volumetric signed distance functions. ACM Transactions on Graphics, 34(4). https://dx.doi.org/10.1145/2766887

MLA:
Zollhöfer, Michael, et al. "Shading-based refinement on volumetric signed distance functions." ACM Transactions on Graphics 34.4 (2015).

BibTeX: 

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