Evaluation of Feature Detection and Extraction Methods for Landmark Separability in Visual Localization-Reference-Cited by-同舟云学术

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Evaluation of Feature Detection and Extraction Methods for Landmark Separability in Visual Localization

Published:2023-11-23 Issue: Volume: Page:1-4
ISSN:
Container-title:2023 7th International Symposium on Innovative Approaches in Smart Technologies (ISAS)
language:
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Author:

Baykar Ali Ömer¹,Lambrecht Jens²,Kural Ayhan³

Affiliation:

1. Istanbul Technical University, Turkish- German University,Department of Mechanical Engineering,Istanbul,Türkiye

2. Berlin Institute of Technology,Chair Industry Grade Networks and Clouds,Berlin,Germany

3. Istanbul Technical University,Department of Mechanical Engineering,Istanbul,Türkiye

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391284/10391096/10391627.pdf?arnumber=10391627

Reference17 articles.

1. Structure-from-Motion Revisited

2. Camera Pose Voting for Large-Scale Image-Based Localization

3. InLoc: Indoor Visual Localization with Dense Matching and View Synthesis

4. Efficient & Effective Prioritized Matching for Large-Scale Image-Based Localization

5. PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization

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