ImTooth: Neural Implicit Tooth for Dental Augmented Reality-Reference-Cited by-同舟云学术

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ImTooth: Neural Implicit Tooth for Dental Augmented Reality

Published:2023-05 Issue:5 Volume:29 Page:2837-2846
ISSN:1077-2626
Container-title:IEEE Transactions on Visualization and Computer Graphics
language:
Short-container-title:IEEE Trans. Visual. Comput. Graphics

Author:

Li Hai¹^ORCID,Zhai Hongjia¹,Yang Xingrui²^ORCID,Wu Zhirong³,Zheng Yihao³,Wang Haofan³,Wu Jianchao⁴,Bao Hujun¹^ORCID,Zhang Guofeng¹

Affiliation:

1. State Key Lab of CAD&CG, Zhejiang University, Hangzhou, China

2. High-speed Aerodynamics Institute, China Aerodynamics Research and Development Center, China

3. College of Computer Science and Technology, Zhejiang University, Hangzhou, China

4. Department of Stomatology, Hangzhou Mingzhou Hospital, Hangzhou, China, and Taizhou Stomatology Hospital, Taizhou, China

Funder

NSF of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

http://xplorestaging.ieee.org/ielx7/2945/10086958/10051634.pdf?arnumber=10051634

Reference65 articles.

1. Visual categorization with bags of keypoints;csurka;European Conf on Comp Vision Workshop,0

2. Augmented Reality Navigation With Automatic Marker-Free Image Registration Using 3-D Image Overlay for Dental Surgery

3. Cats: Cost aggregation transformers for visual correspondence;cho;Advances in neural information processing systems,2021

4. A practical marker-less image registration method for augmented reality oral and maxillofacial surgery

5. D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Taxonomic discordance of immersive realities in dentistry: A systematic scoping review;Journal of Dentistry;2024-07

2. Deep Learning for Spatial Computing: Augmented Reality and Metaverse “the Digital Universe”;Deep Learning-Powered Technologies;2023

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