DPS920 - Computer Vision

Outline information
Semester
Schools offering this subject
Last revision date 2017-12-05 12:41:56.546
Last review date 2017-12-05 12:41:56.546

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 BSD - Honours Bachelor of Technology (Software Development)

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

Cheating and Plagiarism
Each student should be aware of the College's policy regarding Cheating and Plagiarism. Seneca's Academic Policy will be strictly enforced.

To support academic honesty at Seneca College, all work submitted by students may be reviewed for authenticity and originality, utilizing software tools and third party services. Please visit the Academic Honesty site on http://library.senecacollege.ca for further information regarding cheating and plagiarism policies and procedures.

Discrimination/Harassment
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 student.conduct@senecacollege.ca.

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 Disabilities Services Office at ext. 22900 to initiate the process for documenting, assessing and implementing your individual accommodation needs.