OrienterNet: Visual Localization in 2D Public Maps with Neural Matching-Reference-Cited by-同舟云学术

OrienterNet: Visual Localization in 2D Public Maps with Neural Matching

Published:2023-06 Issue: Volume: Page:
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Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Sarlin Paul-Edouard¹,DeTone Daniel²,Yang Tsun-Yi²,Avetisyan Armen²,Straub Julian²,Malisiewicz Tomasz²,Bulo Samuel Rota²,Newcombe Richard²,Kontschieder Peter²,Balntas Vasileios²

Affiliation:

1. ETH Zurich

2. Meta Reality Labs

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204555.pdf?arnumber=10204555

Reference82 articles.

1. Minimal Scene Descriptions from Structure from Motion Models

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

3. Hybrid Scene Compression for Visual Localization

4. You Are Here: Geolocation by Embedding Maps and Images

5. Estimating camera pose from a single urban ground-view omnidirectional image and a 2D building outline map

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