Computer Vision | University of Central Florida
Explore the fundamentals of computer vision, including image filtering, object detection, and more. Suitable for students with a strong background in math and programming.
Introduction
The course is an introductory level class that covers the basic topics of computer vision and introduces fundamental approaches for computer vision research.
Highlights
- Image Filtering, Edge Detection, Interest Point Detectors
- Motion and Optical Flow
- Region Segmentation
- Object Detection and Tracking
- Line and Curve Detection
- Shape Analysis
- Stereopsis
- Imaging Geometry, Camera Modeling and Calibration
Recommendation
This course is recommended for students with a good background in calculus, geometry, linear algebra, and programming in MATLAB or C. It provides a solid foundation in the core concepts and techniques of computer vision, making it suitable for those interested in pursuing research or applications in this field.
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