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Cross-View Geo-Localization - Ground-to-Aerial Image Matching

Offered By: University of Central Florida via YouTube

Tags

Computer Vision Courses Image Processing Courses Feature Extraction Courses

Course Description

Overview

Explore cross-view geo-localization techniques in this 53-minute tutorial from the CVPR 2021 conference, focusing on ground-to-aerial image matching. Delve into various types of geo-localization, including image-based and constraint-based approaches, and understand their limitations. Learn about the proposed approach for cross-view matching, covering building detection, feature extraction, and global image features. Examine the dataset used and major treatments applied in the geo-localization process. Gain insights into the synthesis of these techniques and their practical applications. Conclude with a summary of key points and participate in a Q&A session to deepen your understanding of this cutting-edge computer vision topic.

Syllabus

Introduction
Types of GeoLocalization
GeoLocalization Introduction
Imagebased GeoLocalization
Limitations of Imagebased GeoLocalization
Constraintbased GeoLocalization
Dominant States
Results
CrossView
Proposed Approach
Building Detection
Summary
Feature Vector
Global Image Features
Approach
Features
Dataset
Major Treatment
Geologization
Synthesis
Conclusion
Questions


Taught by

UCF CRCV

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