Highly-Robust Feature Detection Method in Shape-Coded Structured Light Based on End-to-End Deep Neural Network-Reference-Cited by-同舟云学术

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Highly-Robust Feature Detection Method in Shape-Coded Structured Light Based on End-to-End Deep Neural Network

Published:2022-07-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)
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Author:

Wang Sicheng¹,Song Zhan¹,Du Hubing²,Gu Feifei¹

Affiliation:

1. Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen,China,518055

2. Xi’an Technological University,School of Mechatronic Engineering,Xi’an,Shaanxi,China,710032

Funder

Natural Science Foundation of Guangdong Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9872150/9872152/09872270.pdf?arnumber=9872270

Reference21 articles.

1. Accurate feature point detection method exploiting the line structure of the projection pattern for 3D reconstruction

2. A robust and accurate structured light pattern for dynamic 3D reconstruction

3. Robust pattern decoding in shape-coded structured light

4. Robust Structured Light Coding for 3D Reconstruction

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1. Neural Network-Based Recent Research Developments in SLAM for Autonomous Ground Vehicles: A Review;IEEE Sensors Journal;2023-07-01

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