3D Object Pose Estimation Using Local Features Based for Industrial Appliance-Reference-Cited by-同舟云学术

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3D Object Pose Estimation Using Local Features Based for Industrial Appliance

Published:2023-08-08 Issue: Volume: Page:
ISSN:
Container-title:2023 International Electronics Symposium (IES)
language:
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Author:

Pratama Alfan Rizaldy¹,Dewantara Bima Sena Bayu²,Sari Dewi Mutiara²,Pramadihanto Dadet²

Affiliation:

1. Politeknik Elektronika Negeri Surabaya,Center for Research and Innovation on Advanced Transportation Electrification,Surabaya,Indonesia

2. Politeknik Elektronika Negeri Surabaya,Department of Informatics and Computer Engineering,Surabaya,Indonesia

Funder

Politeknik Elektronika Negeri Surabaya

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10242388/10242392/10242406.pdf?arnumber=10242406

Reference18 articles.

1. RGB-D Camera based 3D Object Pose Estimation and Grasping

2. Fast template matching and pose estimation in 3D point clouds

3. Salient Preprocessing: Robotic ICP Pose Estimation Based on SIFT Features

4. Optimization of the 3D Point Cloud Registration Algorithm Based on FPFH Features

5. 3D shape scanning with a time-of-flight camera

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