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WSVD
Stereo
Optical Flow
Stereo Matching
|...
许可协议: Unknown

Overview

We present a fully data-driven method to compute depth from diverse monocular video sequences that contain large amounts of non-rigid objects, e.g., people. To learn reconstruction cues for non-rigid scenes, we introduce a new dataset (WSVD) consisting of stereo videos scraped from Youtube. This dataset has a wide variety of scene types, and features many nonrigid objects.

Citation

Please use the following citation when referencing the dataset:

@misc{wang2019web,    
title={Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes},    
author={Chaoyang Wang and Simon Lucey and Federico Perazzi and Oliver Wang},    
year={2019},    
eprint={1904.11112},    
archivePrefix={arXiv},    
primaryClass={cs.CV}
}
数据概要
数据格式
video,
数据量
--
文件大小
--
发布方
Chaoyang Wang
Chaoyang Wang is a Ph.D. Student of Robotics Institute of Carnegie Mellon University.
| 数据量 -- | 大小 --
WSVD
Stereo Optical Flow
Stereo Matching
许可协议: Unknown

Overview

We present a fully data-driven method to compute depth from diverse monocular video sequences that contain large amounts of non-rigid objects, e.g., people. To learn reconstruction cues for non-rigid scenes, we introduce a new dataset (WSVD) consisting of stereo videos scraped from Youtube. This dataset has a wide variety of scene types, and features many nonrigid objects.

Citation

Please use the following citation when referencing the dataset:

@misc{wang2019web,    
title={Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes},    
author={Chaoyang Wang and Simon Lucey and Federico Perazzi and Oliver Wang},    
year={2019},    
eprint={1904.11112},    
archivePrefix={arXiv},    
primaryClass={cs.CV}
}
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