CS5330 (Pattern Recognition and Computer Vision) course reviews and ratings at Northeastern (NEU). Average rating 4.6/5. Compare professors with RateMyProfessor reviews.
Introduces fundamental techniques for low-level and high-level computer vision. Examines image formation, early processing, boundary detection, image segmentation, texture analysis, shape from shading, photometric stereo, motion analysis via optic flow, object modeling, shape description, and object recognition (classification). Discusses models of human vision (gestalt effects, texture perception, subjective contours, visual illusions, apparent motion, mental rotations, and cyclopean vision). Requires knowledge of linear algebra.
Data updated October 2026.