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ECE 4554 - Introduction to Computer Vision (3C)

Course Description

Techniques for automated analysis of images and videos. Image formation, detecting features in images, segmenting or grouping image regions and image features, multiple view geometry, object instance and category recognition in images, and video processing

Why take this course?

Computers increasingly require the ability to "see" their surroundings in order to interact with humans and with the three-dimensional world. This course introduces theory and techniques for analyzing the content of images. Applications of computer vision include robotics, autonomous vehicle navigation, industrial automation, content-based search in image databases, face and gesture recognition, and aids for the seeing-impaired.

Learning Objectives

  • contrast common image formation models
  • extract various features from images
  • segment an image into meaningful regions
  • derive the theory behind multi-view geometry
  • implement various approaches to recognizing objects and scenes in images
  • process video sequences

    • Resources & Links

    Two-Semester Major Design Experience

    ECE’s two-semester Major Design Experience (ECE 4805-4806) provides teams of students with simulations of the post-college world via projects specified and directed by industry partners. For more information, contact class instructor, Dr. Joe Adams.

    Textbook List

    Take a look at the Fall 2024 ECE textbook list.
    Take a look at the Spring 2025 ECE textbook list.

    Current Prerequisites & Course Offering

    For current prerequisites for a particular course, and to view course offerings for a particular semester, see the Virginia Tech Course Timetables

    ABET Engineering Accreditation Commission

    The B.S. degree in electrical engineering and the B.S. degree in computer engineering are accredited by the Engineering Accreditation Commission of ABET.

    Program Educational Objectives (PEOs) & Student Outcomes (SOs)