Name
Abstract | ||
|---|---|---|
Relightable photographs are alternatives to traditional photographs as they provide a richer viewing experience. However, the complex acquisition systems of existing techniques have restricted its usage to specialized setups. We introduce an easy-to-use and affordable solution for using smartphones to acquire the reflectance of paintings and similar almost-planar objects like tablets, engravings a... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TCI.2017.2749182 | IEEE Transactions on Computational Imaging |
Keywords | Field | DocType |
Mobile communication,Lighting,Cameras,Trajectory,Image reconstruction,Light emitting diodes,Smart phones | Iterative reconstruction,Computer vision,Computer graphics (images),Painting,Mobile device,Artificial intelligence,Reflectivity,Mathematics,Compressed sensing | Journal |
Volume | Issue | ISSN |
3 | 4 | 2573-0436 |
Citations | PageRank | References |
2 | 0.36 | 13 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Niranjan Thanikachalam | 1 | 2 | 0.36 |
| Loïc Baboulaz | 2 | 54 | 3.88 |
| Damien Firmenich | 3 | 2 | 0.36 |
| Sabine Süsstrunk | 4 | 4984 | 207.02 |
| Martin Vetterli | 5 | 13926 | 2397.68 |