Light Field Acquisition
One can obtain a sparse sampling of the light field of a scene
by acquiring a number of views from different view points.
This can be done in a straight-forward but expensive manner using an array of cameras
which capture the scene simultaneously. The different views can be high-resolution, and this
kind of setup can be capable of acquiring dynamic scenes.
Stanford multi-camera array
For static scenes, a cheaper way to capture them is by using a single moving camera, which
can however only be used for static scenes. We have two setups available, one to capture a 4D light
field of a scene (a "Lumigraph"), the other to acquire lots of samples of a small object
from hemispherical view points under controlled lighting. The second one can be employed to obtain
|Stanford LEGO gantry||HCI light field gantry||HCI light field dome|
|Raytrix plenoptic camera||Lytro plenoptic camera|
Naturally, this creates a high demand for efficient and robust algorithms which reconstruct information directly from light fields. However, while there has been a lot of work on for example stereo and optical flow algorithms for traditional image pairs, there is a lack of similar modern methods which are specifically tailored to the rich structure inherent in a light field. Furthermore, much of the existing analysis is local in nature, and does not enforce global consistency of results.
Our group aims at creating novel algorithms for light field analysis. Among other things, we are currently working on
Last update: 28.05.2013, 22:32