Course Information

Course Name	Turkish	Bilgisayarla Görüde İleri Konular
	English	Advanced Topics in Computer Vision
Course Code	BBL 588E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	-	3	3	-	-
Course Language		English
Course Coordinator		Behçet Uğur Töreyin Behçet Uğur Töreyin
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
Course Outcomes		Students are anticipated to equipped with the following competencies once the course is successfully completed: 1. Acquire enough knowledge about computer vision to follow the scientific literature on the fundamentals and the state-of-the-art techniques. 2. Get experience on critical reading of scientific papers. 3. Develop a method (as novel as possible) in order to solve a real computer vision problem.
Pre-requisite(s)		-
Required Facilities		-
Other		-
Textbook		-
Other References		-