Accuracy Evaluation of Stereo Visual SLAM with Unnecessary Feature Point Elimination Using Blur Processing for AR Surgical Support System-Reference-Cited by-同舟云学术

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Accuracy Evaluation of Stereo Visual SLAM with Unnecessary Feature Point Elimination Using Blur Processing for AR Surgical Support System

Published:2023-11-23 Issue: Volume: Page:
ISSN:
Container-title:2023 8th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)
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Author:

Koeda Masanao¹,Kaihara Yuto¹,Sawada Atsuro²,Hamada Akihiro²,Magaribuchi Toshihiro²,Ogawa Osamu²,Onishi Katsuhiko³,Noborio Hiroshi³

Affiliation:

1. Okayama Prefectural University,Faculty of Computer Science and Systems Engineering,Okayama,Japan

2. Kyoto University,Department of Urology, Graduate School of Medicine,Kyoto,Japan

3. Osaka Electro-Communication University,Faculty of Information Science and Arts,Osaka,Japan

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10347554/10347588/10347717.pdf?arnumber=10347717

Reference8 articles.

1. New Technologies for Kidney Surgery Planning 3D, Impression, Augmented Reality 3D, Reconstruction: Current Realities and Expectations

2. Augmented Reality During Robot-assisted Laparoscopic Partial Nephrectomy: Toward Real-Time 3D-CT to Stereoscopic Video Registration

3. Augmented Reality Imaging for Robot-Assisted Partial Nephrectomy Surgery

4. The Current Status and Challenges in Augmented-Reality Navigation System for Robot-Assisted Laparoscopic Partial Nephrectomy

5. ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras

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