CS 7323 - Image Processing and Computer Vision

Course Description:

This course covers fundamentals and advanced topics of image processing and principles of computer vision. Topics include image formation, acquisition, filtering, segmentation, compression and shape representation, as well as computer analysis and understanding of still/motion images, methods for facial and gesture recognition and image retrieval from image databases.


CS 5329 or equivalent with a grade of B or higher, or consent of the instructor.

Course Objectives:

The students will be able to:

  • List, explain and discuss the most important concepts of image processing, perception, analysis, and computer vision

  • Demonstrate a variety of computer techniques for the design of efficient algorithms for real-world applications, such as optical character recognition, face detection and recognition, motion estimation, human tracking, and gesture recognition

  • Develop, use, and evaluate practical applications through computer and programming exercises

  • Identify and apply fundamental knowledge to comprehend and appraise image processing & computer vision literature

Course Notes:

Course effective Fall 2017.  Available only for computer science majors.