SFB/Transregio 161 "Quantitative Methods for Visual Computing"

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3,471 to 3,480 of 3,690 Results

output_kitti_raftRefined.zip Aug 31, 2022 - Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation ZIP Archive - 129.5 MB - MD5: 2a4cf42cdc2843d0f000dd4618be034d
output_sintelClean_raftRefined.zip Aug 31, 2022 - Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation ZIP Archive - 1.7 GB - MD5: 364ccb93701c38427fbbf6be17ea0185
output_sintelClean_raftWarmRefined.zip Aug 31, 2022 - Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation ZIP Archive - 1.7 GB - MD5: 944229656841109549018b4651972446
output_sintelFinal_raftRefined.zip Aug 31, 2022 - Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation ZIP Archive - 1.7 GB - MD5: e256a5ee2f019a90136623593142e408
output_sintelFinal_raftWarmRefined.zip Aug 31, 2022 - Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation ZIP Archive - 1.7 GB - MD5: b2889cc6e0bcb25637dfdfc73f849894
supplement.pdf Aug 31, 2022 - Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation Adobe PDF - 296.8 KB - MD5: 5ecee22d6cfe612d2e4ea2c5f76f9df5
Energy consumption of scientific visualisation and data visualisation algorithms Aug 24, 2022 - SFB-TRR 161 A02 "Quantifying Visual Computing Systems" Müller, Christoph; Heinemann, Moritz; Weiskopf, Daniel; Ertl, Thomas, 2022, "Energy consumption of scientific visualisation and data visualisation algorithms", https://doi.org/10.18419/DARUS-3044, DaRUS, V1, UNF:6:dEyIoAgP890tWqA/WShryw== [fileUNF] This data set comprises a series of measurements of GPU power consumption when raycasting spherical glyphs, raycasting scalar fields and when showing web-based data visualisation on Observable HQ. The data sets for sphere rendering were: pos_rad_intensity : 500000 : 0 : 10 10 10 : 0.01 0.1 500,000 spheres placed randomly, but usinga fixed seed, in...
d3-bar-chart.png Aug 24, 2022 - Energy consumption of scientific visualisation and data visualisation algorithms PNG Image - 122.8 KB - MD5: c16cfa3e859391ea8da585551818e677 Screenshot of https://observablehq.com/@d3/bar-chart
d3-bollinger-bands.png Aug 24, 2022 - Energy consumption of scientific visualisation and data visualisation algorithms PNG Image - 179.9 KB - MD5: b0d5a85e576c6f4719e7cf60f515e145 Screenshot of https://observablehq.com/@d3/bollinger-bands
d3-brushable-parallel-coordinates.png Aug 24, 2022 - Energy consumption of scientific visualisation and data visualisation algorithms PNG Image - 1.2 MB - MD5: cb00b221211fabe7e8c6d50aa301c42e Screenshot of https://observablehq.com/@d3/brushable-parallel-coordinates

output_kitti_raftRefined.zip

Aug 31, 2022 - Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation

ZIP Archive - 129.5 MB -

output_sintelClean_raftRefined.zip

Aug 31, 2022 - Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation

ZIP Archive - 1.7 GB -

output_sintelClean_raftWarmRefined.zip

Aug 31, 2022 - Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation

ZIP Archive - 1.7 GB -

output_sintelFinal_raftRefined.zip

Aug 31, 2022 - Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation

ZIP Archive - 1.7 GB -

output_sintelFinal_raftWarmRefined.zip

Aug 31, 2022 - Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation

ZIP Archive - 1.7 GB -

supplement.pdf

Aug 31, 2022 - Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation

Adobe PDF - 296.8 KB -

Energy consumption of scientific visualisation and data visualisation algorithms

Aug 24, 2022 - SFB-TRR 161 A02 "Quantifying Visual Computing Systems"

Müller, Christoph; Heinemann, Moritz; Weiskopf, Daniel; Ertl, Thomas, 2022, "Energy consumption of scientific visualisation and data visualisation algorithms", https://doi.org/10.18419/DARUS-3044, DaRUS, V1, UNF:6:dEyIoAgP890tWqA/WShryw== [fileUNF]

This data set comprises a series of measurements of GPU power consumption when raycasting spherical glyphs, raycasting scalar fields and when showing web-based data visualisation on Observable HQ. The data sets for sphere rendering were: pos_rad_intensity : 500000 : 0 : 10 10 10 : 0.01 0.1 500,000 spheres placed randomly, but usinga fixed seed, in...

d3-bar-chart.png

Aug 24, 2022 - Energy consumption of scientific visualisation and data visualisation algorithms

PNG Image - 122.8 KB -

Screenshot of https://observablehq.com/@d3/bar-chart

d3-bollinger-bands.png

Aug 24, 2022 - Energy consumption of scientific visualisation and data visualisation algorithms

PNG Image - 179.9 KB -

Screenshot of https://observablehq.com/@d3/bollinger-bands

d3-brushable-parallel-coordinates.png

Aug 24, 2022 - Energy consumption of scientific visualisation and data visualisation algorithms

PNG Image - 1.2 MB -

Screenshot of https://observablehq.com/@d3/brushable-parallel-coordinates

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