This course provides a comprehensive exploration of fundamental and advanced techniques in image processing and computer vision. Students will learn about image manipulation, feature extraction, and object recognition through practical applications and hands-on projects. The curriculum includes studying algorithms and computational methods for real-time image analysis, enabling students to develop solutions for real-world problems in various industries.
Prerequisite: COS 432 – Deep Learning or instructor permission.
Credits: 3
Learning Outcomes
By the end of this course, students will be able to:
- Process images using OpenCV.
- Master traditional image processing algorithms.
- Understand the basic structure of CNNs and their common variants.
- Use CNNs to solve common problems, including object detection, image classification, depth estimation, etc.
Textbook
Instructor depend
Syllabus
Offered
Fall odd years