Real-Time Object Pose Tracking System With Low Computational Cost for Mobile Devices-Reference-Cited by-同舟云学术

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Real-Time Object Pose Tracking System With Low Computational Cost for Mobile Devices

Published:2023 Issue: Volume:1 Page:211-220
ISSN:2832-7322
Container-title:IEEE Journal of Indoor and Seamless Positioning and Navigation
language:
Short-container-title:J. Ind. Sea. Pos. Nav.

Author:

Lau Yo-Chung¹^ORCID,Tseng Kuan-Wei²^ORCID,Kao Peng-Yuan¹^ORCID,Hsieh I-Ju³^ORCID,Tseng Hsiao-Ching³^ORCID,Hung Yi-Ping¹^ORCID

Affiliation:

1. Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei, Taiwan

2. Department of Computer Science, Tokyo Institute of Technology, Tokyo, Japan

3. Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan

Funder

National Science and Technology Council, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9955032/9962767/10352604.pdf?arnumber=10352604

Reference50 articles.

1. Model Based Markerless 3D Tracking applied to Augmented Reality

2. Deep Multi-state Object Pose Estimation for Augmented Reality Assembly

3. Real-time 3D model-based tracking using edge and keypoint features for robotic manipulation

4. Deep object pose estimation for semantic robotic grasping of household objects;Tremblay,2018

5. Joint Monocular 3D Vehicle Detection and Tracking

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