Relative Pose Estimation for Multi-Camera Systems from Point Correspondences with Scale Ratio-Reference-Cited by-同舟云学术

Relative Pose Estimation for Multi-Camera Systems from Point Correspondences with Scale Ratio

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 30th ACM International Conference on Multimedia
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Author:

Guan Banglei¹,Zhao Ji²

Affiliation:

1. National University of Defense Technology, Changsha, China

2. Huazhong University of Science and Technology, Wuhan, China

Funder

Natural Science Foundation of Hunan Province

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503161.3547788

Reference52 articles.

1. Khaled Alyousefi and Jonathan Ventura . 2020 . Multi-camera Motion Estimation with Affine Correspondences. In International Conference on Image Analysis and Recognition. 417--431 . Khaled Alyousefi and Jonathan Ventura. 2020. Multi-camera Motion Estimation with Affine Correspondences. In International Conference on Image Analysis and Recognition. 417--431.

2. Five-Point Fundamental Matrix Estimation for Uncalibrated Cameras

3. Efficient Recovery of Essential Matrix From Two Affine Correspondences

4. Homography From Two Orientation- and Scale-Covariant Features

5. Daniel Barath , Michal Polic , Wolfgang Forstner , Torsten Sattler , Tomas Pajdla , and Zuzana Kukelova . 2020 . Making Affine Correspondences Work in Camera Geometry Computation. In European Conference on Computer Vision. Daniel Barath, Michal Polic, Wolfgang Forstner, Torsten Sattler, Tomas Pajdla, and Zuzana Kukelova. 2020. Making Affine Correspondences Work in Camera Geometry Computation. In European Conference on Computer Vision.

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