Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

University of Central Florida

Motion Models in Computer Vision - Lecture 8

University of Central Florida via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore motion models in computer vision through this comprehensive lecture from the University of Central Florida's 2012 video series. Delve into topics such as optical flow, rotation, Euler angles, image formation, orthographic and perspective projections, least squares fit, and 3-D rigid motion. Learn how to determine projective transformations using point correspondences and gain a thorough understanding of various displacement models. Taught by renowned computer vision expert Dr. Mubarak Shah, this 70-minute lecture provides in-depth knowledge essential for advanced computer vision applications.

Syllabus

Optical Flow
Contents
Rotation (continued)
Euler Angles
Image Formation: Orthographic Projection
Orthographic Projection (contd.)
Plane+Perspective projective
Plane+perspective (contd.)
Least Squares Fit
Determining Projective transformation using point correspondences
Summary of Displacement Models
Displacement Models (contd)
3-D Rigid Motion

Taught by

UCF CRCV

Reviews

Start your review of Motion Models in Computer Vision - Lecture 8

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.