Cross-View Geo-Localization - Ground-to-Aerial Image Matching
Offered By: University of Central Florida via YouTube
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
Tags
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Computational Photography
Georgia Institute of Technology via Coursera Digital Signal Processing
École Polytechnique Fédérale de Lausanne via Coursera Creative, Serious and Playful Science of Android Apps
University of Illinois at Urbana-Champaign via Coursera