2 research outputs found
Segmentation Based Mesh Denoising
Feature-preserving mesh denoising has received noticeable attention recently.
Many methods often design great weighting for anisotropic surfaces and small
weighting for isotropic surfaces, to preserve sharp features. However, they
often disregard the fact that small weights still pose negative impacts to the
denoising outcomes. Furthermore, it may increase the difficulty in parameter
tuning, especially for users without any background knowledge. In this paper,
we propose a novel clustering method for mesh denoising, which can avoid the
disturbance of anisotropic information and be easily embedded into
commonly-used mesh denoising frameworks. Extensive experiments have been
conducted to validate our method, and demonstrate that it can enhance the
denoising results of some existing methods remarkably both visually and
quantitatively. It also largely relaxes the parameter tuning procedure for
users, in terms of increasing stability for existing mesh denoising methods
Safety and Reliability - Safe Societies in a Changing World
The contributions cover a wide range of methodologies and application areas for safety and reliability that contribute to safe societies in a changing world. These methodologies and applications include: - foundations of risk and reliability assessment and management
- mathematical methods in reliability and safety
- risk assessment
- risk management
- system reliability
- uncertainty analysis
- digitalization and big data
- prognostics and system health management
- occupational safety
- accident and incident modeling
- maintenance modeling and applications
- simulation for safety and reliability analysis
- dynamic risk and barrier management
- organizational factors and safety culture
- human factors and human reliability
- resilience engineering
- structural reliability
- natural hazards
- security
- economic analysis in risk managemen