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's 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-taught the course that also centers on pattern classification and biological object recognition. Applications include object detection and recognition, tracking, morphable models and gesture recognition. Coursework in basic linear algebra, probability and calculus is a helpful background to have before starting 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.
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