Abstract
We present a novel approach for guided light-field photography using off-the-shelf smartphones. In contrast to previous work that requires the user to decide where next to position a mobile camera, we actively compute and visualize during runtime a recommendation for the next sampling position and orientation taking into account the current camera pose and required camera alignments. This supports efficient capture of various types of large-field-of-view light fields in just a matter of minutes and without specialized camera equipment. To further reduce the overall capture time, we describe an extension of our guidance algorithm to collaborative light-field photography by small groups of users.
| Original language | English |
|---|---|
| Pages (from-to) | 127-135 |
| Number of pages | 9 |
| Journal | Computers and Graphics |
| Volume | 53 |
| DOIs | |
| Publication status | Published - Dec 2015 |
Fields of science
- 102 Computer Sciences
- 102003 Image processing
- 102008 Computer graphics
- 102015 Information systems
- 102020 Medical informatics
- 103021 Optics
JKU Focus areas
- Engineering and Natural Sciences (in general)