Human Point Cloud Data Segmentation based on Normal Vector Estimation using PCA-SVD Approaches for Elderly Activity Daily Living Detection-Reference-Cited by-同舟云学术

Human Point Cloud Data Segmentation based on Normal Vector Estimation using PCA-SVD Approaches for Elderly Activity Daily Living Detection

Published:2021-12-07 Issue: Volume: Page:
ISSN:
Container-title:TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON)
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Author:

Eka Budiyanta Nova¹,Mulyanto Yuniarno Eko²,Hery Purnomo Mauridhi³

Affiliation:

1. Institut Teknologi Sepuluh Nopember,Faculty of Intelligent Electrical and Informatics Technology (F-Electics),Dept. of Electrical Engineering,Surabaya,Indonesia

2. Institut Teknologi Sepuluh Nopember,Faculty of Intelligent Electrical and Informatics Technology (F-Electics),Dept. of Electrical Engineering Dept. of Computer Engineering,Surabaya,Indonesia

3. University Center of Excellence on Artificial Intelligence for Healthcare and Society (UCE AIHeS),Faculty of Intelligent Electrical and Informatics Technology (F-Electics) Institut Teknologi Sepuluh Nopember,Dept. of Electrical Engineering Dept. of Computer Engineering,Surabaya,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9707139/9707180/09707317.pdf?arnumber=9707317

Reference30 articles.

1. Singular value decomposition and least squares solutions

2. 3D point cloud generation from 2D depth camera images using successive triangulation

3. 3D Point Cloud Matching Based on Its 2D Representation for Visual Odometry

4. Pseudo-LiDAR Point Cloud Interpolation Based on 3D Motion Representation and Spatial Supervision

5. Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

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3. Normal Vector Direction-based 3D LiDAR Point Cloud Planar Surface Removal for Object Cluster Minimization in Human Activity Monitoring System;2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2023-05-22