Pattern Recognition for Machine Vision OpenCourseWare: A Free Graduate Study Course on Pattern Recognition by MIT
Explore pattern recognition applications in the free OpenCourseWare, 'Pattern Recognition for Machine Vision,' presented by the Massachusetts Institute of Technology (MIT). The original course was an elective option in MIT's Brain and Cognitive Sciences master degree program.
Pattern Recognition for Machine Vision: Course Specifics
| Degree Level | Free | Audio | Video | Downloads |
|---|---|---|---|---|
| Graduate | Yes | Yes | Yes | Yes |
| Lectures/Notes | Study Materials | Tests/Quizzes |
|---|---|---|
| Yes | Yes | No |
Pattern Recognition for Machine Vision: Course Description
An overview of machine vision difficulties is the central focus of 'Pattern Recognition for Machine Vision,' an MIT free OpenCourseWare. Dr. Bernd Heisele and Dr. Yuri Ivanov team teach this class that also centers on pattern classification and biological object recognition. Applications will be summarized as well and include object detection and recognition, tracking, morphable models and gesture recognition. Basic linear algebra, probability and calculus are helpful backgrounds to have when utilizing this OpenCourseWare. The original course was a curriculum option in the Brain and Cognitive Sciences graduate degree program at MIT.
This free OpenCourseWare includes detailed class lecture notes, study materials in video format, sample course assignments and downloadable class materials. To view this extensive course content, visit the cognitive science course page.
Relevant School Choices:
-
University of Arizona
-
San Diego State University
-
Michigan State University
-
St. John's University
-
New York University
-
California Polytechnic State University