Instructor: Vassilis Athitsos
This course will engage students in individual, student-designed projects, where students will design computer vision methods for sign language recognition. Topics of interest include:
The main deliverable for each student will be an individual project. The project will be graded based on degree of difficulty, system performance, ability to visualize the behavior of the overall system as well as individual system components, and quality of the experimental evaluation. Students will specify their project at the beginning of the course and will deliver progress reports at each class meeting. The course grade will also depend on class participation and quality of one or two oral presentations that the student will make in class.
This course is also offered as a CSE 4392 special topics undergraduate course. Undergraduates interested in registering for this course should have some basic computer vision background, and should obtain permission from the instructor before registering. Undergraduate student projects are not expected to match the degree of difficulty and sophistication of graduate student projects.
Course web page:
Lecture times: Tuesday and Thursday, 12:30pm-1:50pm
Classroom: ERB 131