COMS W4731
Computer Vision I: First Principles
Lect: 3. Introductory course in computer vision. Topics include image formation and optics, image sensing, binary images, image processing and filtering, edge extraction and boundary detection, region growing and segmentation, pattern classification methods, brightness and reflectance, shape from shading and photometric stereo, texture, binocular stereo, optical flow and motion, 2D and 3D object representation, object recognition, vision systems and applications
Topics
- image formation and optics
- image sensing
- binary images
- image processing and filtering
- edge extraction and boundary detection
- region growing and segmentation
- pattern classification methods
- brightness and reflectance
- shape from shading and photometric stereo
- texture
- binocular stereo
- optical flow and motion, 2D and 3D object representation
- object recognition
- vision systems and applications
Topics explicitly listed in official catalogue description
Prerequisites & course information
Prerequisites: Fundamentals of calculus, linear algebra, and C programming. Students without any of these prerequisites are advised to contact the instructor prior to taking the course.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Computer Vision I: First Principles · 3.00 points · University catalogue