Go to Main Content

SCT WWW Information System



Detailed Course Information


Fall 2016 Semester
Dec 02, 2020
Transparent Image
Information Select the desired Level or Schedule Type to find available classes for the course.

CS 5330 - Pattern Recognition and Computer Vision
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). Prereq. Knowledge of linear algebra; restricted to students in the College of Computer and Information Science.
4.000 Credit hours
4.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture

Computer Science Department

Course Attributes:
GSCS Computer & Info Science

Must be enrolled in one of the following Levels:     
Must be enrolled in one of the following Colleges:     
      Khoury Coll of Comp Sciences
Must be enrolled in one of the following Classifications:     

Undergraduate level MATH 2331 Minimum Grade of D- or Graduate Admission REQ

Return to Previous New Search
Transparent Image
Skip to top of page