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July 1, 2026Open Access

Uncertainty-aware geometry processing on Gaussian Process Implicit Surfaces

Baptiste Genest David Coeurjolly

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Key Points

The research aims to enhance geometry processing techniques by incorporating uncertainty using Gaussian process models.
Used Gaussian processes for implicit surface representation
Developed techniques to quantify uncertainty in geometry processing
Analyzed surface reconstruction performance with uncertainty-awareness
Demonstrated significant improvements in reconstruction accuracy under uncertainty
Achieved better results compared to traditional geometry processing methods
Quantified uncertainty leads to more robust 3D surface models

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Implication

Demonstrates improved surface reconstruction in geometry processing using Gaussian processes, highlighting implications for 3D modeling.

Abstract

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Cite This Study

Genest et al. (2026) studied this question.

synapsesocial.com/papers/69f9890415588823dae17f3e https://doi.org/10.1145/3811280

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