Datasets
Open Access
Sintel 4D Light Field Video Dataset
- Citation Author(s):
- Submitted by:
- Takahiro Kinoshita
- Last updated:
- Fri, 03/26/2021 - 14:10
- DOI:
- 10.1117/12.2591012
- Data Format:
- Links:
- License:
- Categories:
- Keywords:
Abstract
A medium-scale synthetic 4D Light Field video dataset for depth (disparity) estimation. From the open-source movie Sintel. The dataset consists of 24 synthetic 4D LFVs with 1,204x436 pixels, 9x9 views, and 20–50 frames, and has ground-truth disparity values, so that can be used for training deep learning-based methods. Each scene was rendered with a clean pass after modifying the production file of Sintel with reference to the MPI Sintel dataset.
Click here for image samples. (Our project page)
Updates
-
11th FEBRUARY 2021
The datasets containing 9x9 views are now available! Please check Sintel_LFV_9x9_with_all_disp.zip and Sintel_LFV_9x9.zip.
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26th NOVEMBER 2020
Welcome to the Sintel 4D Light Field Video Dataset. The dataset used in our paper is available! Please check Sintel_LFV_cross-hair.zip.
Citation
If you find this useful for your research, please use the following.
==========================================
@inproceedings{kinoshita2021depth,
title={Depth estimation from 4D light field videos},
author={Kinoshita, Takahiro and Ono, Satoshi},
booktitle={International Workshop on Advanced Imaging Technology (IWAIT) 2021},
volume={11766},
pages={117660A},
year={2021},
organization={International Society for Optics and Photonics}
}
==========================================
Dataset Files
- Sintel_LFV_9x9_with_all_disp.zip (166.35 GB)
- Sintel_LFV_9x9.zip (51.00 GB)
- Sintel_LFV_cross-hair.zip (11.85 GB)
- Visualized images of disparity value in center view disp_viz_center.zip (15.11 MB)
- raw rendering data(.exr/.png) rendering.7z (500.45 GB)
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