CVI620 - Computer Vision

Outline information
Schools offering this subject
Last revision date Sep 30, 2019 12:26:19 AM
Last review date Dec 2, 2019 12:15:18 AM

Subject Title
Computer Vision

Subject Description
As cameras are becoming a popular feature of standard PCs and mobile devices, it is important to be able to extract useful information from this data. This course covers simple computer vision concepts, such as capturing digital images and video, applying simple and arithmetic changes to images (e.g. crop, rotate, enhance color), and extracting information from images (e.g. finding or counting objects). Also, concepts such as tracking objects in a video sequence are introduced. Students will work on a project targeting a computer vision application such as face recognition, security systems, medical imaging, robotics, and others.

Credit Status
1 credit (3 units)
Professional Option for CPA - Computer Programming and Analysis (Ontario College Advanced Diploma)

Learning Outcomes
Upon successful completion of this subject the student will be able to:

  1. Describe the hardware and imaging components to setup a computer vision system
  2. Discuss image representation techniques and standards to read and write grayscale and color digital image files
  3. Solve image arithmetic problems to apply image effects
  4. Explain feature detection methods to detect basic recognizable entities such as edges, corners, and blobs
  5. Compare matching methods for object recognition to identify the strengths and weaknesses of each algorithm
  6. Assess the optical flow method to track moving objects
  7. Implement a vision system to solve a recognition or tracking problem

Essential Employability Skills
Execute mathematical operations accurately.

Apply a systematic approach to solve problems.

Use a variety of thinking skills to anticipate and solve problems.

Locate, select, organize, and document information using appropriate technology and information systems.

Analyze, evaluate, and apply relevant information from a variety of sources.

Interact with others in groups or teams in ways that contribute to effective working relationships and the achievement of goals.

Manage the use of time and other resources to complete projects.

Take responsibility for one's own actions, decisions, and consequences.

Academic Integrity
Seneca upholds a learning community that values academic integrity, honesty, fairness, trust, respect, responsibility and courage. These values enhance Seneca's commitment to deliver high-quality education and teaching excellence, while supporting a positive learning environment. Ensure that you are aware of Seneca's Academic Integrity Policy which can be found at: Review section 2 of the policy for details regarding approaches to supporting integrity. Section 2.3 and Appendix B of the policy describe various sanctions that can be applied, if there is suspected academic misconduct (e.g., contract cheating, cheating, falsification, impersonation or plagiarism).

Please visit the Academic Integrity website to understand and learn more about how to prepare and submit work so that it supports academic integrity, and to avoid academic misconduct.

All students and employees have the right to study and work in an environment that is free from discrimination and/or harassment. Language or activities that defeat this objective violate the College Policy on Discrimination/Harassment and shall not be tolerated. Information and assistance are available from the Student Conduct Office at

Accommodation for Students with Disabilities
The College will provide reasonable accommodation to students with disabilities in order to promote academic success. If you require accommodation, contact the Counselling and Accessibility Services Office at ext. 22900 to initiate the process for documenting, assessing and implementing your individual accommodation needs.