Course Information

Course Name	Turkish	Yapay Görme Uygulamaları
	English	Machine Vision Applications in Mechatronics
Course Code	MKM 605E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	1	3	3	-	-
Course Language		English
Course Coordinator		Hülya Yalçın
Course Objectives		How can computers understand the visual world of humans? This course treats vision as a process of inference from noisy and uncertain data and emphasizes probabilistic, statistical, data-driven approaches. Topics include image processing; segmentation, grouping, and boundary detection; recognition and detection; motion estimation and structure from motion. This course will emphasize the core vision tasks of scene understanding and recognition. We will train and evaluate classifiers to recognize various visual phenomena.
Course Description		How can computers understand the visual world of humans? This course treats vision as a process of inference from noisy and uncertain data and emphasizes probabilistic, statistical, data-driven approaches. Topics include image processing; segmentation, grouping, and boundary detection; recognition and detection; motion estimation and structure from motion. This course will emphasize the core vision tasks of scene understanding and recognition. We will train and evaluate classifiers to recognize various visual phenomena.
Course Outcomes
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Required Facilities
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Textbook
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