Computer Vision

ERCIYES UNIVERSITY
ENGINEERING FACULTY
GEOMATICS ENGINEERING
I. General Information
Course Title
HM 504 Computer Vision
Term
Spring
Department
Geomatics Engineering
Coordinator
Assoc.Prof.Dr. Erkan BEŞDOK
Local Credits: 3
ECTS: 3
Erciyes University, Faculty of Engineering, Dept. of Geomatics Engineering, 38039, Kayseri, TURKEY
E-mail:[email protected] Web Page :http://abis.erciyes.edu.tr/Sorgu.aspx?Sorgu=823
Working Hours: 08:00 – 17:00
II. Course Information
CATALOG DESCRIPTION:
3D Pan Tilt Calibration, Visual Servo, SLAM Mapping, Odometry.
COURSE PRECONDITIONS:
Not Available
LEARNING OBJECTIVES:
Provide information about the intermediate and advanced level computer vision.
COURSE STRUCTURE:
Class Courses: Three hours per week.
COURSE MATERIAL:
TEXTBOOK:
Computer Vision by Linda G. Shapiro and George C. Stockman
GRADING:
Exams: Midterm and final exams. Evcaluation: point of midterm exam (% 40) + point of final exam (% 60)
TOPICS: (14 Weeks)
Week 1
Week 2
Week 3
Week 4
Introduction
Fundamental Conceptions and Definitions
Mathematical Foundations
The foundations of computer vision
Week 5 The foundations of computer vision
Week 6 Technical Application Development
Week 7
Pattern Recognition Techniques
Week 8
Pattern Recognition Techniques
Week 9
Pattern Recognition Techniques
Week 10 Visa Exam
Week 11 3D Perception
Week 12 Technical Applications
Week 13 Technical Applications
Week 14 Final Exam
OUTCOME COVERAGE:
To Obtain The Ability Of The Techniques And The Modern Tools Required For The Engineering Application