Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Hand Gesture Recognition Using ToF Camera and 3D Point Cloud Networks

Not Accessible

Your library or personal account may give you access

Abstract

Gesture recognition is achieved by using ToF camera and deep neural networks based on 3D point cloud. An average recognition accuracy of the networks is >99%. PointNet++ (MSG) network demonstrates better performance than other networks.

© 2022 The Author(s)

PDF Article
More Like This
3D Hand Gesture Recognition using Integral Imaging

F. Pla, P. Latorre-Carmona, E. Salvador-Balaguer, and B. Javidi
3W3G.1 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2018

An overview of hand gesture recognition in degraded environments using three-dimensional integral imaging and deep neural networks

Gokul Krishnan, Rakesh Joshi, Timothy O’ Connor, Filiberto Pla, and Bahram Javidi
3F4A.4 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2021

3D Time-of-Flight Camera Based Face Mask Recognition Using Facial Contour and Artificial Neural Network

Xiaoyan Wang, Tianxu Xu, Yiwen Zhang, Dongye Xu, Dong An, Qiang Wang, Zhongqi Pan, and Yang Yue
JW2A.23 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2022

Poster Presentation

Media 1: PDF (825 KB)     
Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.