Education

Students interested in pursuing an M.S. or a Ph.D. degree at FSU in the area of computer vision and pattern recognition can do so in one of the following departments: Computer Science, Mathematics, or Statistics. Individual programs of study are designed according to the department the student is affiliated with. For more details, prospective students are encouraged to contact the Imaging Sciences Lab faculty or their departments. Due to the interdisciplinary nature of the area, students are advised to take basic courses in all three areas, in addition to coursework required by their departments. Courses recommended for graduate students interested in Computer Vision include:

Basic Courses

Statistics:

• Computational Methods in Statistics I, STA 5106/4102
• Computational Methods in Statistics II, STA 5017/4103

Mathematics:

• Advanced Calculus II, MAA 5307
• Measure and Integration I, MAA 5616
• Differential Geometry (offered as special topics)

Computer Science:

• Pattern Recognition, CAP 5638
• Principles and Algorithms of Computer Vision, CAP 5415
• Theoretical Foundations of Computer Vision, CAP 6417

Additional Courses

• Artificial Neural Networks, CAP 5615
• Introductions to Intelligent System Techniques, CIS 4930
• Numerical Analysis II, MAD 5708

Imaging Sciences Lab Seminars

We conduct a weekly seminar series that is attended by all faculty and students affiliated with the center. Please refer to the events page for further details.