CS 378 / 395T: Computer Vision

Syllabus overview

I. Image formation and features

• Image formation, cameras
• Color
• Linear filters
• Edge detection
• Image pyramids
• Texture

II. Grouping

• Fitting lines and curves
• Robust fitting, RANSAC
• Hough transform
• Segmentation
• Clustering

III. Multiple views

• Stereo
• Local invariant features
• Affine structure from motion

IV. Recognition and learning

• 2D recognition
• Bags of words representations
• Feature indexing and verification
• Shape matching
• Nearest neighbors
• Support vector machines
• Boosting

V. Motion and tracking

• Optical flow
• Tracking
• Video analysis
• Human body pose estimation