BBL 588E - Advanced Topics in Computer Vision

Course Objectives

This course aims at presenting students the fundamentals and the state-of-the-art of computer vision.

Course Description

Following topics are covered in this course presenting the fundamentals and the state-of-the-art in computer vision:

1. Image Analysis
1.1. Linearity and Filtering
1.2. Fourier and Wavelet Transforms
1.3. Discrete Cosine Transform
1.4. Edge Detection and Hough Transform
1.5 Feature Extraction
1.6. Image Compression
2. Video Analysis
2.1. Motion Detection
2.2. Tracking Methods
2.3. Video Compression
3. Three Dimensional Perception