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A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms.

O. Johannsen, K. Honauer, B. Goldluecke, A. Alperovich, F. Battisti, Y. Bok, M. Brizzi, M. Carli, G. Choe, M. Diebold, M. Gutsche, H. Jeon, I. Kweon, J. Park, J. Park, H. Schilling, H. Sheng, L. Si, M. Strecke, A. Sulc, Y. Tai, Q. Wang, T. Wang, S. Wanner, Z. Xiong, J. Yu, S. Zhang, and H. Zhu. CVPR Workshops, page 1795-1812. IEEE Computer Society, (2017)

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Felix Schilling University of Stuttgart

Maximilian Schilling University of Stuttgart

Lukas Schilling University of Stuttgart

Univ. -Prof. Dr. -Ing. Hendrik Lens University of Stuttgart

Hendrik Burghaus University of Stuttgart

Other publications of authors with the same name

Evaluation and performance analysis of hydrocarbon detection methods using hyperspectral data.A. Lenz, H. Schilling, W. Groß, and W. Middelmann. IGARSS, page 2680-2683. IEEE, (2015)Automatic in-flight boresight calibration considering topography for hyperspectral pushbroom sensors.A. Lenz, H. Schilling, D. Perpeet, S. Wuttke, W. Groß, and W. Middelmann. IGARSS, page 2981-2984. IEEE, (2014)A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms.O. Johannsen, K. Honauer, B. Goldluecke, A. Alperovich, F. Battisti, Y. Bok, M. Brizzi, M. Carli, G. Choe, M. Diebold and 18 other author(s). CVPR Workshops, page 1795-1812. IEEE Computer Society, (2017)Automatic modeling of nonlinear signal source variations in hyperspectral data.W. Groß, G. Keskin, H. Schilling, A. Lenz, and W. Middelmann. IGARSS, page 2965-2968. IEEE, (2014)An approach to fully unsupervised hyperspectral unmixing.W. Groß, H. Schilling, and W. Middelmann. IGARSS, page 4714-4717. IEEE, (2012)Surface Normal Reconstruction from Specular Information in Light Field Data.M. Gutsche, H. Schilling, M. Diebold, and C. Garbe. CVPR Workshops, page 1735-1742. IEEE Computer Society, (2017)Detection of Vehicles in Multisensor Data via Multibranch Convolutional Neural NetworksH. Schilling, D. Bulatov, R. Niessner, W. Middelmann, and U. Soergel. Special issue on advances in pattern recognition in remote sensing, 11, 11, page 4299-4316. Piscataway, NJ, IEEE, (2018)Trust Your Model: Light Field Depth Estimation With Inline Occlusion Handling.H. Schilling, M. Diebold, C. Rother, and B. Jähne. CVPR, page 4530-4538. IEEE Computer Society, (2018)Segmentation methods for detection of stationary vehicles in combined elevation and optical data.D. Bulatov, and H. Schilling. ICPR, page 603-608. IEEE, (2016)Learning to Think Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift.T. Leistner, H. Schilling, R. Mackowiak, S. Gumhold, and C. Rother. 3DV, page 249-257. IEEE, (2019)

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Disambiguation of "Schilling, Hendrik"

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A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms.

Please choose a person to relate this publication to

Felix Schilling University of Stuttgart

Maximilian Schilling University of Stuttgart

Lukas Schilling University of Stuttgart

Univ. -Prof. Dr. -Ing. Hendrik Lens University of Stuttgart

Hendrik Burghaus University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Schilling, Hendrik"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms.

Please choose a person to relate this publication to

Felix Schilling University of Stuttgart

Maximilian Schilling University of Stuttgart

Lukas Schilling University of Stuttgart

Univ. -Prof. Dr. -Ing. Hendrik Lens University of Stuttgart

Hendrik Burghaus University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

A Taxonomy and Evaluation of Dense Light Field Depth Estimation Algorithms.