Name: Machine Learning Methods in Visualisation for Big Data 2018
Start: 2018-06-04T00:00:00+00:00
End: 2018-06-04T23:59:59+00:00
Location: Brno

Events
In cooperation event

All Day

June 4, 2018

Visualization in Environmental Sciences (EnvirVis 2018)

Brno

June 4, 2018

Workshop on Molecular Graphics and Visual Analysis of Molecular Data

Brno

June 4, 2018

Machine Learning Methods in Visualisation for Big Data 2018

Brno

Winner of the Computer Graphics Forum 2024 Cover Image Contest

This image shows the inside of the teaser figure 'fertility' from Polygon Laplacian Made Robust. It visualizes the condition numbers of individual polygon stiffness matrices. The mesh transitions from the input mesh to our result from left to right. The original mesh features disfigured polygons with alarming (yellow) or terrible (magenta) condition numbers. With our tailored smoothing algorithm, polygons become very regular and, combined with our improved polygon Laplacian, result in better condition numbers (blue) and improved robustness in computational simulation. Blender was used to stylize the geometry and render the image.

EuroVA 2018

Visualization in Environmental Sciences (EnvirVis 2018)

EuroRV³ 2018

Workshop on Molecular Graphics and Visual Analysis of Molecular Data

Machine Learning Methods in Visualisation for Big Data 2018