Depth Estimation Through a Generative Model of Light Field Synthesis

Sajjadi, M.; Köhler, R.; Schölkopf, B.; Hirsch, M.

doi:10.1007/978-3-319-45886-1_35

Item

ITEM ACTIONSEXPORT

Add to Basket

Please note that a newer version of this item is available:
https://pure.mpg.de/pubman/item/item_2403550_5

DetailsSummary

Released

Conference Paper

Depth Estimation Through a Generative Model of Light Field Synthesis

MPS-Authors

/persons/resource/persons203441

Sajjadi, M.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons85493

Köhler, R.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons84193

Schölkopf, B.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons83969

Hirsch, M.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

External Resource

Link
(Any fulltext)

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Sajjadi, M., Köhler, R., Schölkopf, B., & Hirsch, M. (2016). Depth Estimation Through a Generative Model of Light Field Synthesis. In B. Rosenhahn, & B. Andres (Eds.), 38th German Conference on Pattern Recognition (GCPR 2016) (pp. 426-438). Cham: Springer.

Cite as: https://hdl.handle.net/11858/00-001M-0000-002D-19F1-F

Abstract

There is no abstract available