Point normal orientation and surface reconstruction by incorporating isovalue constraints to Poisson equation

Xiao, Dong; Shi, Zuoqiang; Li, Siyu; Deng, Bailin; Wang, Bin

doi:10.1016/j.cagd.2023.102195

Cited by 3 publications

(1 citation statement)

References 27 publications

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“…IsoPoisson by Xiao et al. [XSL*23] incorporate an isovalue constraint to the Poisson equation, which helps with consistent normal orientation and consequently improved reconstruction.…”

Section: Related Workmentioning

confidence: 99%

PPSurf: Combining Patches and Point Convolutions for Detailed Surface Reconstruction

Erler,

Fuentes‐Perez,

Hermosilla

et al. 2024

Computer Graphics Forum

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Abstract3D surface reconstruction from point clouds is a key step in areas such as content creation, archaeology, digital cultural heritage and engineering. Current approaches either try to optimize a non‐data‐driven surface representation to fit the points, or learn a data‐driven prior over the distribution of commonly occurring surfaces and how they correlate with potentially noisy point clouds. Data‐driven methods enable robust handling of noise and typically either focus on a global or a local prior, which trade‐off between robustness to noise on the global end and surface detail preservation on the local end. We propose PPSurf as a method that combines a global prior based on point convolutions and a local prior based on processing local point cloud patches. We show that this approach is robust to noise while recovering surface details more accurately than the current state‐of‐the‐art. Our source code, pre‐trained model and dataset are available at https://github.com/cg‐tuwien/ppsurf.

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“…IsoPoisson by Xiao et al. [XSL*23] incorporate an isovalue constraint to the Poisson equation, which helps with consistent normal orientation and consequently improved reconstruction.…”

Section: Related Workmentioning

confidence: 99%