

- Recap of Lec 1 - What is an Image?
- Introduction to Pinhole Camera Model
-
Perspective Projection
- Projection Matrix
- Intrinsic Parameter Matrix
- Extrinsic Parameter Matrix
- Challenges with Pinhole Camera
- Use of lenses
- Field of View
- Depth of Field
- Intro to capturing colorĀ
\( \text{Agenda of this Lecture:}\)

- Course Introduction
- What and Why is Computer Vision?
- Computer Vision at UB
- Modules covered in the course
- Course Logistics
- Course Structure
- Course Instructors
- Timings and Office Hours
- Introduction to Images
- What is an Image?
- What is a Pixel?
- Creating Images using Python code

- Course Introduction
- What and Why is Computer Vision?
- Computer Vision at UB
- Modules covered in the course
- Course Logistics
- Course Structure
- Course Instructors
- Timings and Office Hours
- Introduction to Images
- What is an Image?
- What is a Pixel?
- Creating Images using Python code
\( \text{Play with the}\)
\( \textbf{Live Code}\)
\( \text{on Course Website}\)

\( \text{Perspective Projection}\)



\( \text{Perspective Projection is easy!}\)


















\( \text{Let's Understand this with a Visualization}\)












\( \text{We need a mathematical model for Perspective Projection}\)

\( \text{Intrinsic Matrix}\)











\( \text{Perspective Projection}\)
\( \text{But how do I find Rotation and Translation Matrices?}\)

\( \text{Perspective Projection}\)
\( \text{But how do I find Rotation and Translation Matrices?}\)
\( \textbf{Camera Calibration}\)

\( \text{What and How to perform Camera Calibration?}\)
Intro





Too much time to capture an image with a small aperture size.







The process of Optical Zoom







What does an Image consist of?


TLDR: We have color sensors to capture color

We will revisit this towards the end of the course.
Lecture 2,3 : Image Formation and the Pinhole Camera
By Naresh Kumar Devulapally
Lecture 2,3 : Image Formation and the Pinhole Camera
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