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Advanced Computer Vision Paradigms

Course Description

Computer systems that automate the analysis and the interpretation of images are in increasing demand in areas of basic research and industrial applications. Current applications include remote sensing, medical diagnosis from radiographic images, control of manufacturing through parts inspection, image recovery from web servers, database management and image archives, automatic digital photo generation, criminal and forensic investigation, to mention just a few. This course covers the essential and recent advances in computer vision paradigms related to deep learning and other advanced image analysis techniques for solving real-world applications.

Course Details

• Course period: 28/08/18
• Department: Electrical Engineering

About the Course

The course is designed to provide students with a comprehensive understanding of advanced computer vision paradigms, with a focus on deep learning and other advanced image analysis techniques. The applications of computer vision in various fields, including remote sensing, medical diagnosis, and industrial manufacturing, will be explored in depth.