Globally Learnable Point Set Registration Between 3D CT and Multi-view 2D X-ray Images of Hip Phantom-Reference-Cited by-同舟云学术

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Globally Learnable Point Set Registration Between 3D CT and Multi-view 2D X-ray Images of Hip Phantom

Published:2021-12-27 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Robotics and Biomimetics (ROBIO)
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Author:

Pan Jin¹,Min Zhe²,Zhang Ang¹,Ma Han¹,Meng Max Q.-H.¹

Affiliation:

1. The Chinese University of Hong Kong, Shatin,Robotics, Perception and AI Lab,Department of Electronic Engineering,N.T. Hong Kong SAR,China

2. University College London,Department of Medical Physics and Biomedical Engineering, and also with Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS),London,United Kingdom

Funder

Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9739207/9739208/09739622.pdf?arnumber=9739622

Reference33 articles.

1. Robust real-time detection, tracking, and pose estimation of faces in video streams

2. Indoor Segmentation and Support Inference from RGBD Images

3. 3d shapenets: A deep representation for volumetric shapes;wu;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2015

4. Deep Declarative Networks

5. Robust Multi-View 2-D/3-D Registration Using Point-To-Plane Correspondence Model

Cited by 1 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. Sparse Branch-and-Bound 2D-3D Registration Based on Prior Correspondences of Dense Points;2022 International Conference on Advanced Robotics and Mechatronics (ICARM);2022-07-09

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