Motion Models in Computer Vision - Lecture 8

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