TY - GEN
T1 - Generalized depth-of-field light-field rendering
AU - Schedl, D.C.
AU - Birklbauer, C.
AU - Gschnaller, J.
AU - Bimber, Oliver
N1 - Publisher Copyright:
© Springer International Publishing AG 2016.
PY - 2016
Y1 - 2016
N2 - Typical light-field rendering uses a single focal plane to define the depth at which objects should appear sharp. This emulates the behavior of classical cameras. However, plenoptic cameras together with advanced light-field rendering enable depth-of-field effects that go far beyond the capabilities of conventional imaging. We present a generalized depth-of-field light-field rendering method that allows arbitrarily shaped objects to be all in focus while the surrounding fore-and background is consistently rendered out of focus based on user-defined focal plane and aperture settings. Our approach generates soft occlusion boundaries with a natural appearance which is not possible with existing techniques. It furthermore does not rely on dense depth estimation and thus allows presenting complex scenes with non-physical visual effects.
AB - Typical light-field rendering uses a single focal plane to define the depth at which objects should appear sharp. This emulates the behavior of classical cameras. However, plenoptic cameras together with advanced light-field rendering enable depth-of-field effects that go far beyond the capabilities of conventional imaging. We present a generalized depth-of-field light-field rendering method that allows arbitrarily shaped objects to be all in focus while the surrounding fore-and background is consistently rendered out of focus based on user-defined focal plane and aperture settings. Our approach generates soft occlusion boundaries with a natural appearance which is not possible with existing techniques. It furthermore does not rely on dense depth estimation and thus allows presenting complex scenes with non-physical visual effects.
UR - http://www.scopus.com/inward/record.url?scp=84989906595&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-46418-3_9
DO - 10.1007/978-3-319-46418-3_9
M3 - Conference contribution
SN - 9783319464176
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 95
EP - 105
BT - Computer Vision and Graphics - International Conference, ICCVG 2016, Proceedings
A2 - Datta, Amitava
A2 - Wojciechowski, Konrad
A2 - Chmielewski, Leszek J.
A2 - Kozera, Ryszard
PB - Springer
ER -