Fundamental Matrix and Stereo Vision - Lecture 13
Offered By: University of Central Florida via YouTube
Course Description
Overview
Explore the fundamental concepts of computer vision in this comprehensive lecture covering fundamental metrics, stereo imaging, photosynthesis, the Fundamental Matrix, Random Sample Consensus (RANSAC), image planes, and matrix operations. Delve into the mathematical foundations and practical applications of these topics, gaining a deeper understanding of how they contribute to advanced computer vision techniques and 3D reconstruction from multiple views.
Syllabus
Intro
Fundamental metrics
Stereo
Photosynth
Fundamental Matrix
Random Sampling Consensus
Image Plane
Matrix
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