John Kender

Survey Results

49 of 57 students responded

Instructor: Organization and Preparation4.2
Instructor: Classroom Delivery4.45
Instructor: Approachability4.02
Instructor: Overall Quality4.35
Course: Amount Learned3.96
Course: Appropriateness of Workload3.92
Course: Fairness of Grading Process3.78
Course: Quality of Text3.45
Course: Overall Quality4.1

Course Information

The course is a survey of existing research systems that allow computers to accept and manipulate visual input, usually from real time cameras, in order to direct further computer processing. These systems presently enable machines to: recognize and interpret human hand and body gestures analyze imagery such as fingerprint or iris patterns for security data generate natural language descriptions of medical or map imagery index into a database of pictures toretrieve related images; summarize visually long video sequences like news reports or comedy shows steer automobiles automatically recover CAD/CAM models by inspecting physical examples monitor large outdoor areas for types of activity execute other and more exotic tasks. Since the course is a topics course, a survey-of- research course, and a course being offered for the first time, the schedule is fluid. However, most or all of the topics above will be covered, and additionally, some of the underlying theoretic work in artificial intelligence, computer vision, robotics, and psychology also will be covered.

Department: Computer Science(COMS)

Subject: Computer Science(COMS)

School: School of the Arts, Barnard College, Columbia College, School of General Studies, Graduate School of Arts and Sciences, School of International and Public Affairs, Continuing Education and Special Programs

Division: Interfaculty

Course ID: 4735