Abstract | ||
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We introduce a new motion blur computation method for ray tracing that provides an analytical approximation of motion blurred visibility per ray. Rather than relying on timestamped rays and Monte Carlo sampling to resolve the motion blur, we associate a time interval with rays and directly evaluate when and where each ray intersects with animated object faces. Based on our simplifications, the vol... |
Year | DOI | Venue |
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2018 | 10.1109/TVCG.2017.2775241 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | Field | DocType |
Ray tracing,Image reconstruction,Cameras,Geometry,Dynamics,Acceleration,Strain | Iterative reconstruction,Computer vision,Visibility,Ray tracing (graphics),Computer science,Shutter,Motion blur,Cone tracing,Triangulation (social science),Artificial intelligence,Acceleration | Journal |
Volume | Issue | ISSN |
24 | 12 | 1077-2626 |
Citations | PageRank | References |
0 | 0.34 | 23 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Konstantin Shkurko | 1 | 33 | 4.33 |
Cem Yuksel | 2 | 264 | 30.15 |
Daniel Kopta | 3 | 82 | 5.73 |
Ian Mallett | 4 | 4 | 4.78 |
Erik Brunvand | 5 | 509 | 66.09 |