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1
Intro
2
Pose Estimation
3
Coordinate Systems
4
Translation
5
Scaling
6
Rotation Matrix
7
Inverse Rotation Matrix
8
Euler Angle Matrix
9
Perspective Projection
10
Perspective Matrix
11
Focal Length
12
Camera Model
Description:
Explore the fundamentals of camera modeling in computer vision through this comprehensive lecture. Delve into essential topics including pose estimation, coordinate systems, translation, scaling, and rotation matrices. Understand inverse rotation matrices, Euler angle matrices, and perspective projection. Examine the perspective matrix, focal length, and overall camera model. Gain valuable insights from Dr. Mubarak Shah, a renowned expert in the field, as part of the UCF Computer Vision Video Lectures series.

Camera Model and Perspective Projection - Lecture 12

University of Central Florida
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