Computer Vision and Pattern Recognition

The course will cover fundamental issues and paradigms dealing with computer vision and pattern recognition. The material covered in the course will be divided into three phases: low-level vision, intermediate-level vision and high-level or cognitive vision. The material on low-level and intermediate-level vision will constitute roughly Chapters 1-6 of the textbook. The material on high-level vision will be based on selected sections from Chapters 7, 9, 10, 11, 14 and 15. In addition, if time permits and depending on the interest of the class, specialized topics in computer vision and pattern recognition would be considered. These include: parallel algorithms and parallel computer architectures for computer vision and pattern recognition, expert systems for image interpretation, visual information systems and neural computing for computer vision and pattern recognition.

Prerequisites:
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Semester Offered: 
Spring
Level: