Alternate identifier:
-
Related identifier:
-
Creator/Author:
Schambach, Maximilian https://orcid.org/0000-0002-4927-266X [IIIT]
Contributors:
(Project Leader) Heizmann, Michael https://orcid.org/0000-0001-9339-2055 [IIIT]
Title:
A highly textured multispectral light field dataset
Additional titles:
-
Description:
(Abstract) A multispectral light field dataset of three real-world highly textured scenes.
(Technical Info) The dataset "DATA.zip" contains the decoded, white-balanced, and de-vignetted multispectral light fields. You can directly use these calibrated light fields in your research. If you do so, please cite our corresponding paper [1]. For further details, please see the provided README.txt.
(Other) [1] Maximilian Schambach, Jiayang Shi, and Michael Heizmann: "Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep Learning" International Conference on 3D vision (3DV), 2021
Keywords:
light field, multispectral, Lytro
Related information:
-
Language:
English
Publishers:
Karlsruhe Institute of Technology (KIT)
Production year:
Subject areas:
Engineering
Resource type:
Dataset
Data source:
(Instrument) Custom-built multispectral light field camera
Software used:
Resource processing
Software:
plenpy - 0.9
Alternative software:
-
Software used:
Resource viewing
Software:
plenpy - 0.9
Alternative software:
-
Data processing:
-
Publication year:
Rights holders:
Karlsruhe Institute of Technology (KIT)
Funding:
-
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Jan 2023 22 0
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Aug 2022 36 6
Before 340 6
Total 478 15
Status:
Published
Uploaded by:
52d9ffcc51f3307e92d84d4b9c1c66f7
Created on:
Archiving date:
2021-10-13
Archive size:
138.1 GB
Archive creator:
52d9ffcc51f3307e92d84d4b9c1c66f7
Archive checksum:
87c55fc162f3c75697d72a3072bf25fc (MD5)
Embargo end date:
-