LiDAR Dataset for Face Anti-Spoofing(LDFAS)

Citation Author(s):
Yongrae
Kim
Submitted by:
Yongrae Kim
Last updated:
Mon, 07/08/2024 - 15:59
DOI:
10.21227/jv6k-8v94
Data Format:
JPG, ply
License:
Creative Commons Attribution
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Categories:
Artificial Intelligence
Keywords:
Face Anti-Spoofing
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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

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