Name
Abstract | ||
|---|---|---|
In the past years, the plenoptic camera aroused an increasing interest in the field of computer vision. Its capability of capturing three-dimensional image data is achieved by an array of micro lenses placed in front of a traditional image sensor. The acquired light field data allows for the reconstruction of photographs focused at different depths. Given the plenoptic camera parameters, the metric distance of refocused objects may be retrieved with the aid of geometric ray tracing. Until now there was a lack of experimental results using real image data to prove this conceptual solution. With this paper, the very first experimental work is presented on the basis of a new ray tracing model approach, which considers more accurate micro image centre positions. To evaluate the developed method, the blur metric of objects in a refocused image stack is measured and compared with proposed predictions. The results suggest quite an accurate approximation for distant objects and deviations for objects closer to the camera device. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/3DTV.2015.7169363 | 2015 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON) |
Keywords | Field | DocType |
Light field,plenoptic,camera,refocusing,distance estimate | Computer vision,Computer graphics (images),Image sensor,Ray tracing (graphics),Computer science,Metric (mathematics),Light field,Lens (optics),Artificial intelligence,Real image,Optical imaging | Conference |
ISSN | Citations | PageRank |
2161-2021 | 2 | 0.38 |
References | Authors | |
5 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| christopher hahne | 1 | 10 | 2.09 |
| Amar Aggoun | 2 | 115 | 21.34 |
| Vladan Velisavljevic | 3 | 263 | 23.62 |