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Computer Science
Lecture 9: Constraints: Visual Object Recognition
- Course
- Artificial Intelligence
- Instructor
- Patrick H. Winston
- Department
- Electrical Engineering and Computer Science
- Recorded
- Fall 2010
- Level
- Undergraduate
Free account required. The lecture opens at MIT OpenCourseWare.
About this lecture
We consider how object recognition has evolved over the past 30 years. In alignment theory, 2-D projections are used to determine whether an additional picture is of the same object. To recognize faces, we use intermediate-sized features and correlation.
← Lecture 8: Constraints: Search, Domain ReductionLecture 10: Introduction to Learning, Nearest Neighbors →
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