Image Formation and Filtering

Date: September 12, 2024
Lecture Duration: 1.5 hours
Topic Overview:
This lecture introduced the fundamental concepts of image formation and filtering, with hands-on coding demonstrations in Python.

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1. Introduction to Image Formation

We began with an overview of image formation concepts, including the pinhole camera model. The pinhole camera projection was visualized using Python:

Code Snippet: Pinhole Camera Model

```python import numpy as np import matplotlib.pyplot as plt from ipywidgets import interact, IntSlider

Define pinhole projection function

def pinhole_camera_projection(X, Y, Z, focal_length): x_projected = (focal_length * X) / Z y_projected = (focal_length * Y) / Z return x_projected, y_projected

Visualize projections

interact(visualize_pinhole_projection, focal_length=IntSlider(min=5, max=30, step=1, value=5))