Computer Vision Lecture Notes

Introduction

Cameras and Imaging

Image Formation and Optics

Image Sensing

Signal and Image Processing

Binary Images

Image Processing and Filtering I

Image Processing and Filtering II

Image Resampling and Pyramids

Edge Detection

Boundary Detection and Hough Transform

Physics of the World

Radiometry and Surface Reflectance

Lightness and Retinex

Photometric Stereo

Shape from Shading

3D Geometry

Binocular Stereo I

Binocular Stereo II

Optical Flow and Motion

Structured Light and Range Imaging

Polyhedral Objects and Line Drawings

Statistical Techniques

Linear Least Squares

Principal Components Analysis I

Principal Components Analysis II

Current Trends and Challenges in Vision

Novel Cameras and Displays

Open Challenges

Acknowledgements: Most of this course is based on the excellent course offered at Columbia University. Please acknowledge the original source when reusing these slides for academic purposes.