Face recognition using point cloud from LiDAR sensor - GitHub
SqueezeFace: Integrative Face Recognition Methods with LiDAR Sensors. By Kyoungmin Ko, Hyunmin Gwak, Nalinh Thoummala, Hyun Kwon, and SungHwan Kim. This repository contains a Pytorch implementation of SqueezeFace with applications to real data.
In this paper, we propose a robust and reliable face recognition model that incorporates depth information such as data from point clouds and depth maps into RGB image data to avoid false facial verification caused by face spoofing attacks while
How 3D Sensing Enables Mobile Face Recognition - IEEE Spectrum
Feb 20, 2019 · Three techniques for 3D sensing can be used to implement face recognition, and all are supported by advanced optical components and technologies supplied by ams.
What Is LiDAR, and How Will It Work on the iPhone? - How-To Geek
Oct 29, 2020 · A LiDAR scanner determines the distance between itself and an object by monitoring how long it takes a pulse of light (often a laser) to bounce back. It's like radar, except instead of radio waves, it uses infrared light.
How Apple's LiDAR Sensor Differs From The One On Its 'TrueDepth' Face ...
AR is better known as the technology that overlays information and virtual objects on real-world scenes in real-time. But if compared to Face ID, Apple's LiDAR in the 2020 iPad Pro scans an object using dots with over a 2D space in order to judge the 3D distance, with a …
[PDF] SqueezeFace: Integrative Face Recognition Methods with LiDAR …
Sep 28, 2021 · In this paper, we propose a robust and reliable face recognition model that incorporates depth information such as data from point clouds and depth maps into RGB image data to avoid false facial verification caused by face …
3D Face Point Cloud Reconstruction and Recognition Using Depth …
Apr 7, 2021 · To solve this problem, this paper presents an effective procedure for facial reconstruction as well as facial recognition via using a depth sensor. For each testing candidate, the depth camera acquires a multi-view of its 3D point clouds.
GitHub - NVIDIA-AI-IOT/Lidar_AI_Solution: A project demonstrating Lidar ...
CUDA & TensorRT solution for BEVFusion inference, including: Camera Encoder: ResNet50 and finetuned BEV pooling with TensorRT and onnx export solution. Lidar Encoder: Tiny Lidar-Backbone inference independent of TensorRT and onnx export solution. Feature Fusion: Camera & Lidar feature fuser with TensorRT and onnx export solution.
LiDAR Technology for Human Activity Recognition: Outlooks and ...
In this magazine, we investigate the potential of using LiDAR sensors as a novel technology enabling complex and real-time HAR applications. We first overview the HAR categories and the existing state-of-the-art technologies: video-based cameras, depth …
CloudNet: A LiDAR-Based Face Anti-Spoofing Model That Is …
Feb 6, 2023 · Abstract: Face anti-spoofing (FAS) is a technology that protects face recognition systems from presentation attacks. The current challenge faced by FAS studies is the difficulty in creating a generalized light variation model. This is because face …