Název: Surface Reconstruction with higher-order smoothness
Autoři: Pan, Rongjiang
Skala, Václav
Citace zdrojového dokumentu: Visual Computer. 2012, vol. 28, no.2, p.155-162.
Datum vydání: 2011
Nakladatel: Springer
Typ dokumentu: preprint
preprint
URI: http://link.springer.com/article/10.1007%2Fs00371-011-0604-9
http://herakles.zcu.cz/~skala/PUBL/PUBL_2012/2012_RongJiang-Surface-Reconstruction.pdf
http://hdl.handle.net/11025/11162
ISSN: 0178-2789
Klíčová slova: rekonstrukce plochy;hladkost vyššího řádu;konvexní optimalizace
Klíčová slova v dalším jazyce: surface reconstruction;higher-order smoothnes;convex optimization
Abstrakt: This work proposes a method to reconstruct surfaces with higher-order smoothness from noisy 3D measurements. The reconstructed surface is implicitly represented by the zero level-set of a continuous valued embedding function. The key idea is to find a function whose higher-order derivatives are regularized and whose gradient is best aligned with a vector field defined by the input point set. In contrast to methods based on the first-order variation of the function that are biased towards the constant functions and treat the extraction of the isosurface without aliasing artifacts as an afterthought, we impose higher-order smoothness directly on the embedding function. After solving a convex optimization problem with a multi-scale iterative scheme, a triangulated surface can be extracted using the marching cubes algorithm. We demonstrated the proposed method on several data sets obtained from raw laser-scanners and multi-view stereo approaches. Experi mental results confirm that our approach allows us to reconstruct smooth surfaces from points in the presence of noise, outliers, large missing parts and very coarse orientation information.
Práva: The final publication is available at http://link.springer.com/article/10.1007%2Fs00371-011-0604-9.
Vyskytuje se v kolekcích:Preprinty / Preprints (FAV)

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