Realistic and efficient wrinkle simulation using an anatomy-based face model with adaptive refinement

2005 ◽  
Author(s):  
Yu Zhang ◽  
Terence Sim
Keyword(s):  
Adaptive Refinement ◽  
Face Model

scholarly journals Detail Reconstruction of 3D Face Model from Single Image

2021 ◽  
Vol 1948 (1) ◽  
pp. 012053
Author(s):  
Hongxin Xu ◽  
Ruoming Lan ◽  
Tianping Li
Keyword(s):  
Single Image ◽  
Face Model ◽  
3D Face

Spectral Correspondence Framework for Building a 3D Baby Face Model

2020 ◽  
Author(s):  
Araceli Morales ◽  
Antonio R. Porras ◽  
Liyun Tu ◽  
Marius George Linguraru ◽  
Gemma Piella ◽  
...  
Keyword(s):  
Face Model ◽  
Spectral Correspondence

scholarly journals Process-Based Model Prediction of Coastal Dune Erosion through Parametric Calibration

2021 ◽  
Vol 9 (6) ◽  
pp. 635
Author(s):  
Hyeok Jin ◽  
Kideok Do ◽  
Sungwon Shin ◽  
Daniel Cox
Keyword(s):  
Large Scale ◽  
Numerical Models ◽  
Model Performance ◽  
Coastal Dunes ◽  
Wave Transformation ◽  
Storm Event ◽  
Face Model ◽  
Dune Erosion ◽  
Simulation Performance ◽  
Sand Bar

Coastal dunes are important morphological features for both ecosystems and coastal hazard mitigation. Because understanding and predicting dune erosion phenomena is very important, various numerical models have been developed to improve the accuracy. In the present study, a process-based model (XBeachX) was tested and calibrated to improve the accuracy of the simulation of dune erosion from a storm event by adjusting the coefficients in the model and comparing it with the large-scale experimental data. The breaker slope coefficient was calibrated to predict cross-shore wave transformation more accurately. To improve the prediction of the dune erosion profile, the coefficients related to skewness and asymmetry were adjusted. Moreover, the bermslope coefficient was calibrated to improve the simulation performance of the bermslope near the dune face. Model performance was assessed based on the model-data comparisons. The calibrated XBeachX successfully predicted wave transformation and dune erosion phenomena. In addition, the results obtained from other two similar experiments on dune erosion with the same calibrated set matched well with the observed wave and profile data. However, the prediction of underwater sand bar evolution remains a challenge.

An Adaptive EFG-FE Computational Model for Thermal Elasto-Plastic Frictional Contact Problems

2008 ◽  
Vol 33-37 ◽  
pp. 821-826
Author(s):  
Zheng Zhang ◽  
Geng Liu ◽  
Tian Xiang Liu
Keyword(s):  
Frictional Heating ◽  
Contact Problems ◽  
Coupling Model ◽  
Adaptive Refinement ◽  
Frictional Heat ◽  
Plastic Behavior ◽  
Initial Stiffness ◽  
Gradient Based ◽  
Local Adaptive Refinement ◽  
The Cost

An adaptive meshless element-free Galerkin-finite element (EFG-FE) coupling model for thermal elasto-plastic contact problems is developed to investigate the influences of the steady-state frictional heating on the contact performance of two contacting bodies. The thermal elasto-plastic contact problems using the initial stiffness method is presented. The local adaptive refinement strategy and the strain energy gradient-based error estimation for EFG-FE coupling method are combined. The adaptive meshless model takes into account the temperature variation, micro plastic flow, and the coupled thermo-elasto-plastic behavior of the materials, considering the strain-hardening property of the materials and temperature-dependent yield strength. The adaptive model is verified through the contact analysis of a cylinder with an elasto-plastic plane. The thermal effects on the contact pressure, stresses distributions with certain frictional heat inputs are studied. The results show that the accuracy of the solutions from the adaptive refinement model is satisfactory but the cost of the CPU time is much less than that for the uniform refinement calculation.

scholarly journals Learning in lockdown: A case study in rapid transition to remote teaching

2021 ◽  
pp. 026638212098473
Author(s):  
Jela Webb
Keyword(s):  
Graduate Education ◽  
Learning Model ◽  
Corporate Sector ◽  
Face Model ◽  
Post Graduate ◽  
Face To Face ◽  
New Ways Of Working ◽  
Rapid Transition ◽  
Remote Learning

Disruption is the by-word for 2020. Across the globe organisations have been affected by the COVID-19 pandemic and consequent lockdowns, which accelerated new ways of working and learning. In this article, I share my experience of transitioning from a face-to-face model of delivering post-graduate education to a remote learning model. I reflect on how the corporate sector might learn from my experience as it considers re-skilling and up-skilling the workforce to meet the demands faced by a changing jobs landscape.

Facial feature localization and adaptation of a generic face model for model-based coding

1995 ◽  
Vol 7 (1) ◽  
pp. 57-74 ◽  
Author(s):  
M.J.T. Reinders ◽  
P.J.L. van Beek ◽  
B. Sankur ◽  
J.C.A. van der Lubbe
Keyword(s):  
Facial Feature ◽  
Face Model ◽  
Model Based ◽  
Facial Feature Localization ◽  
Feature Localization
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