CSBP441 Applied Computer Vision

Fall 2026 course workspace

CSBP441 Applied Computer Vision

Move from visual measurements to meaningful decisions through hand calculation, Python implementation, result analysis, and real-system interpretation.

Current collection
LN1-LN5
Practice modes
Quiz + generated problems
Notebook workflow
Open in Colab

Lecture notes

Learn, calculate, implement

Each lecture page connects the essential theory to a small hands-on task, a notebook, self-check questions, and parameterized exam practice.

Opening CSBP441 lecture slideLN1

Computer Vision Foundations

Goals, semantic gap, challenges, applications, and system thinking.

Open lecture Close view of a bird eyeLN2

Images, Perception, and Tasks

Digital images, color, pipelines, and the outputs of core vision tasks.

Open lecture Vector cross-product lecture diagramLN3

Linear Algebra and Transformations

Vectors, matrices, homogeneous coordinates, and geometric transforms.

Open lecture Vanishing point from two image linesLN4

Camera Models and Projection

Pinhole projection, lines, vanishing points, calibration, and distortion.

Open lecture Linear filter practice slideLN5

Images and Filtering

Point operations, correlation, convolution, padding, noise, and edges.

Open lecture

Practice engine

One concept, many valid variants

01

Choose a lecture

Work inside the concept you are currently studying.

02

Generate a seed

Receive new values while preserving the intended method and difficulty.

03

Reveal the solution

Compare your method only after completing the calculation.

Try the problem generator

Course resources

Assessment and notebook material

43 hand-solved problemsWord equation edition with instructor solutions LN5 filtering notebookDownload the complete filtering examples Homogeneous geometry notebookPoints, lines, dot products, and cross products