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
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Course Coordinator
Behçet Uğur Töreyin
Behçet Uğur Töreyin
Course Language
English
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