CS 484
Computational Vision
Fall 2026
Topics
- Image gradients and low-level features
- Model fitting and panorama stitching
- Epipolar geometry and structure from motion
- Stereo
- Low-level segmentation
- Semantic segmentation and convolutional neural networks
Readings
- Computer Vision: Algorithms and Applications2010
- Digital Image Processing2002
- Probabilistic Machine Learning: An Introduction2022
Undated
Topics
- Optics, image formation, and lighting
- Linear systems and Fourier theory
- Feature detection
- Robust model fitting
- Feature grouping and segmentation
- Image registration
- Stereopsis and epipolar geometry
- Optical flow
- Object tracking
- Structure from motion
- Object recognition
- Event recognition
Readings
- Introductory Techniques for 3D Computer Vision1998
- Computer Vision: A Modern Approach2003
- Robot Vision1986
- Digital Image Processing1996
Sources
- Course catalogue ↗2026–2027
- course_website ↗Fall 2026
- departmental_course_outline ↗Undated
- Source dated September 2026; topics summarized from tentative assignment subjects.
- Departmental typical outline and references; assignments and textbooks may vary by term. No revision date stated.