LiDAR Dataset for Face Anti-Spoofing(LDFAS)
- Citation Author(s):
-
Yongrae Kim
- Submitted by:
- Yongrae Kim
- Last updated:
- DOI:
- 10.21227/jv6k-8v94
- Data Format:
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Abstract
This dataset is a face dataset collected for the purpose of a face anti-spoofing study.
Instructions:
The LDFAS is composed of 8,640 face data collected from 36 Koreans (2880 images each in RGB, point cloud, and depth configurations). Point Clouds were projected to 2D plane. Depth images are based on point clouds. A 3D LiDAR point cloud and depth had a resolution of 256 × 192, and RGB was generated at 1440 × 1080 pixels. The dataset consists of three subsets: indoor, outdoor, and indoor(dark). We collected these data with RGB cameras and LiDAR sensors on Apple Pad devices.
Funding Agency
National Research Foundation of Korea
Grant Number
NRF 2020R1C1C1A01005229, NRF 2021R1A4A5032622
Dear Author
I am in need of this dataset to test my proposed model
Requesting you to give access to the datset or suggestion to buy the dataset for academicresearch point of view
Thank you
In reply to Dear Author by Vasavi Sanikommu
Dear Author
I am in need of this dataset to test my proposed model
Requesting you to give access to the datset or suggestion to buy the dataset for academicresearch point of view
Thank you