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MKM 605E - Machine Vision Applications in Mechatronics

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 Coordinator
Hülya Yalçın
Course Language
English
 
 
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