Computer Vision
Graduate course, Institute of Artificial Intelligence Innovation, NYCU, 2025
Course Overview and Objectives:
This course aims to provide students with a deep understanding of the fundamental concepts and techniques of computer vision, including image formation, feature extraction, 3D reconstruction, image segmentation, object recognition, deep learning, object detection, object tracking, and facial recognition. It also aims to equip students with the implementation and application of algorithms, models, and frameworks related to computer vision, enabling them to address computer vision problems across various domains such as autonomous driving, smart homes, medical image analysis, and more. Through this course, students will comprehend the limitations and challenges of current computer vision applications and explore future development directions. By undertaking this course, students will acquire the following abilities:
- Fundamental knowledge and skills in computer vision and image processing.
- Sensitivity and analytical skills toward emerging technologies and trends.
- Capability to conduct independent research and development, possessing teamwork and project management abilities.
- Innovative thinking and problem-solving skills, with the capacity to apply learned knowledge to promote technological innovation and societal progress.