Akademik Dersler - Tanıtım


Code - Course Title	EEM561 - Machine Vision
Course Type	Elective Courses
Language of Instruction	İngilizce
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ ONUR KILINÇ
Mode of Delivery	Face to face
Prerequisites	Not any
Courses Recomended	EEM463- Introduction to Image Processing, EEM565 - Image processing
Required or Recommended Resources	Computer Vision: A Modern Approach, Forsyth & Ponce
Recommended Reading List	Computer Vision: Algorithms and Applications, Richard Szeliski
Assessment methods and criteria	Midterm (1) Homework (3), Term project (1), Final exam (1)
Work Placement	EEM
Sustainability Development Goals

Weeks	Topics
Week - 1	Introduction & Fundamentals
Week - 2	Introduction & Fundamentals (Cont.)
Week - 3	Perspective, Camera
Week - 4	Color
Week - 5	Linear Filtering
Week - 6	Edge Detection
Week - 7	Corner Detection
Week - 8	SIFT (Scale Invariant Feature Transform) - keypoints
Week - 9	Hough Transform
Week - 10	Object Recognition
Week - 11	Object Recognition (Cont.)
Week - 12	Viola Jones Face Detection
Week - 13	Makine Görüsü Projeleri

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Homework	1	30
Final Exam	1	70
Toplam (%)		100