Homography-Based Loss Function for Camera Pose Regression-Reference-Cited by-同舟云学术

Homography-Based Loss Function for Camera Pose Regression

Published:2022-07 Issue:3 Volume:7 Page:6242-6249
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Boittiaux Clementin¹^ORCID,Marxer Ricard²^ORCID,Dune Claire³^ORCID,Arnaubec Aurelien¹,Hugel Vincent³

Affiliation:

1. Ifremer, La Seyne-sur-Mer, France

2. CNRS, LIS, Université de Toulon, Aix-Marseille Université, Toulon, France

3. COSMER, Université de Toulon, Toulon, France

Funder

Institut Français de Recherche pour l'Exploitation de la Mer

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9750005/09760136.pdf?arnumber=9760136

Reference20 articles.

1. From Coarse to Fine: Robust Hierarchical Localization at Large Scale

2. Back to the Feature: Learning Robust Camera Localization from Pixels to Pose

3. Multi-task learning using uncertainty to weigh losses for scene geometry and semantics;kendall;Proc IEEE Conf Comput Vis and Pattern Recog,0

4. Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images

5. Multiple View Geometry in Computer Vision

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