Sparse Branch-and-Bound 2D-3D Registration Based on Prior Correspondences of Dense Points-Reference-Cited by-同舟云学术

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Sparse Branch-and-Bound 2D-3D Registration Based on Prior Correspondences of Dense Points

Published:2022-07-09 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Advanced Robotics and Mechatronics (ICARM)
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Author:

Pan Jin¹,Min Zhe²,Shen Yutian¹,Liu Tingting¹,Meng Max Q.-H.¹

Affiliation:

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

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9959088/9959097/09959548.pdf?arnumber=9959548

Reference34 articles.

1. Indoor segmentation and support inference from rgbd images;silberman;European Conference on Computer Vision,2012

2. 3d shapenets: A deep representation for volumetric shapes;wu;IEEE Conference on Computer Vision and Pattern Recognition,2015

3. Subvoxel precise skeletons of volumetric data based on fast marching methods

4. MultiStencils Fast Marching Methods: A Highly Accurate Solution to the Eikonal Equation on Cartesian Domains

5. Model-Based Pose Estimation for Rigid Objects

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