Applied Computer Vision
Online BSBA & MSCS Spring 2025 - March 24-May 16
Description
Applied computer vision used in automation, robotics, physical security, surveillance, and inspection applications and systems. Topics covered include theory of computer vision and related algorithms for image capture and processing, filtering, thresholds, edge detection, shape analysis, shape detection, salient object detection, pattern matching, digital image enhancement, stereo ranging, and methods of sensor and information fusion. Focus is on real-time continuous image processing from cameras and video. Application using multi-core and co-processing parallel computing systems are covered as they relate to scaling of computer vision applications.
Class Notes
Activity component to section 601. Open to students admitted to the Special Session Online Masters in Computer Science Degree Program. Registrations are processed through the Professional & Continuing Education Office. Log in daily or as required by faculty.
Class Details
WWW ONLINE
Class Registration Information
SECT 602
- $850 / unit
03/24/2025 - 05/16/2025
TBA
Registration
This is an auto-enrollment class. You will be added automatically when you enroll in the related class. See the class notes at left for details.
Applied Computer Vision
Waitlist
Add me to the WaitlistApplied computer vision used in automation, robotics, physical security, surveillance, and inspection applications and systems. Topics covered include theory of computer vision and related algorithms for image capture and processing, filtering, thresholds, edge detection, shape analysis, shape detection, salient object detection, pattern matching, digital image enhancement, stereo ranging, and methods of sensor and information fusion. Focus is on real-time continuous image processing from cameras and video. Application using multi-core and co-processing parallel computing systems are covered as they relate to scaling of computer vision applications.
Class Notes
Applied computer vision used in automation, robotics, physical security, surveillance, and inspection applications and systems. Topics covered include theory of computer vision and related algorithms for image capture and processing, filtering, thresholds, edge detection, shape analysis, shape detection, salient object detection, pattern matching, digital image enhancement, stereo ranging, and methods of sensor and information fusion. Focus is on real-time continuous image processing from cameras and video. Application using multi-core and co-processing parallel computing systems are covered as they relate to scaling of computer vision applications.