Name
Abstract | ||
|---|---|---|
A camera's shutter controls the incoming light that is reaching the camera sensor. Different shutters lead to wildly different results, and are often used as a tool in movies for artistic purpose, e.g., they can indirectly control the effect of motion blur. However, a physical camera is limited to a single shutter setting at any given moment. ShutterApp enables users to define spatio-temporally-varying virtual shutters that go beyond the options available in real-world camera systems. A user provides a sparse set of annotations that define shutter functions at selected locations in key frames. From this input, our solution defines shutter functions for each pixel of the video sequence using a suitable interpolation technique, which are then employed to derive the output video. Our solution performs in real-time on commodity hardware. Hereby, users can explore different options interactively, leading to a new level of expressiveness without having to rely on specialized hardware or laborious editing. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1111/cgf.13870 | COMPUTER GRAPHICS FORUM |
Field | DocType | Volume |
Computer vision,Computing Methodologies,Computer science,Computational photography,Human–computer interaction,Artificial intelligence,Exposure control | Journal | 38.0 |
Issue | ISSN | Citations |
7.0 | 0167-7055 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nestor Z. Salamon | 1 | 4 | 1.78 |
| Markus Billeter | 2 | 153 | 13.30 |
| Elmar Eisemann | 3 | 1352 | 91.00 |