Calendar · Lecture Notes
MIT OpenCourseWare
Pattern Recognition for Machine Vision
- Instructors
- Dr. Bernd Heisele, Dr. Yuri Ivanov
- Term
- Fall 2004
- Level
- Graduate
- What's inside
- 1 lecture note · 14 other files · 4 web pages
- Materials open
- MIT OCW
About this course
Source: MIT OpenCourseWare 9.913 Pattern Recognition for Machine Vision, Fall 2004, Dr. Bernd Heisele, Dr. Yuri Ivanov — original course page on ocw.mit.edu ↗. License: CC BY-NC-SA 4.0. Study order: MIT's own listing order, section by section. Taken from MIT's published course files, downloaded from ocw.mit.edu on September 23, 2026. How RedLectern is built.
Materials are grouped the way MIT organized them. A verified, course-wide order has not been established here.
Before you start
Prerequisites are not listed here. Check MIT's own syllabus for this course.
How this course was organized
What's here, and what isn't
- A lecture sequence of 14 items is confirmed. It stays as organized materials rather than a full course order.
Not included here
8 items from the source could not be safely included:
- MIT's page format for this item wasn't recognized clearly enough to place it safely. (8 items)
Materials by section
Grouped by section, as MIT organized them. Not sequenced or ordered.
Lecture Notes
13 files
- Vision: Feature Extraction Download
- Quick Matlab Tutorial Download
- Class I - Overview Download
- Class IV Part I – Bayesian Decision Theory Download
- Class VI – Density Estimation Download
- Class VII, Part I – Techniques for Clustering Download
- Class XIII, Motion and Gesture Download
- Class 8-2 – An Application of Clustering Download
- Class 9 – Object Detection and Recognition Download
- Vision - Feature Extraction I Download
- Principal Component Analysis & Independent Component Analysis Download
- Classification Download
- Tracking Basics Download
Assignments
Course outline
Calendar · Lecture Notes
Lecture 2: Vision - Image Formation and Processing
Calendar · Lecture Notes
Lecture 3: Vision - Feature Extraction I
Calendar · Lecture Notes
Lecture 4: PR/Vis - Feature Extraction II/Bayesian Decisions
Calendar · Lecture Notes
Lecture 5: PR - Density Estimation
Calendar · Lecture Notes
Lecture 6: PR - Classification
Calendar · Lecture Notes
Lecture 7: Biological Object Recognition
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Lecture 8: PR - Clustering
Calendar · Lecture Notes
Lecture 9: Paper Discussion
Calendar · Lecture Notes
Lecture 10: App I - Object Detection/Recognition
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Lecture 11: App II - Morphable Models
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Lecture 12: App III - Tracking
Calendar · Lecture Notes
Lecture 13: App IV - Gesture and Action Recognition
Calendar · Lecture Notes
Lecture 14: Project Presentation
MIT OpenCourseWare, Dr. Bernd Heisele, Dr. Yuri Ivanov, 9.913 Pattern Recognition for Machine Vision, Fall 2004.
License: CC BY-NC-SA 4.0 · Edition: Fall 2004 · Open the original course on OCW ↗
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