CSCI 612  Applied Computer Vision  3 Units  

Prerequisite: CSCI 311 or equivalent with C or higher.  

Typically Offered: Spring only  

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. 2 hours activity, 2 hours discussion.  (022279)  

Grade Basis: Graduate Graded  

Repeatability: You may take this course for a maximum of 3 units  

Course Attributes: Graduate Division; Laptop required  

Course Description: This course emphasizes a balance of top-down and bottom-up theoretical understanding of continuous image processing required in applied disciplines such as robotics and inspection systems.  Algorithmics and mathematics required to parse scenes, recognize targets of interest, compute key point features, and support higher level application development such as visual odometry, SLAM (Simultaneous Localization and Mapping), inspection system visual QA/QC will be covered in depth. 

Goals: Students will test implementations for trustworthiness using instructor supplied challenge set video, department mobile robots, or video game automation using a simple USB camera and Linux computer.  The course will use MATLAB and OpenCV for top-down algorithm and transformation applications and C/C++ or Python for fundamental bottom-up algorithm construction and top-down.  At the end of the course, all students must demonstrate a computer vision-based automation application or system working individually or on a small team.

Textbook: Not required, course is taught primarily from notes.