Prerequisites Limited to CSE graduate students; others, permission of instructor
Textbook information Multiple view geometry in computer vision by Hartley, R., & Zisserman, A., Cambridge university press, 2003. Computer vision: algorithms and applications by Szeliski, R., & Zisserman, A., Springer Nature, 2022.
Introduction to basic concepts in computer vision. Low-level image analysis, image formation, edge detection, segmentation. Image transformations for image synthesis methods for 3D scene reconstruction, motion analysis, object recognition.
Prerequisite
Credits
3 Credits
Course Outcomes
Understand the theoretical foundations of projective geometry and image formation.
Apply traditional and deep learning methods for various problems such as keypoint detection, segmentation, and object detection.
Reconstruct 3D scenes using multiview geometry and deep-learning-based approaches like NeRF.
Develop practical skills in computer vision engineering through a hands-on project.
Textbook
Multiple view geometry in computer vision by Hartley, R., & Zisserman, A., Cambridge university press, 2003.
Computer vision: algorithms and applications by Szeliski, R., & Zisserman, A., Springer Nature, 2022.