Calendar · Lecture Notes
MIT OpenCourseWare
Representation and Modeling for Image Analysis
Art: Palmer, Edward, 1803-1872, Figures 113-123. Plate Electrical Machines, 1840 · Public domain
- Instructor
- Prof. Polina Golland
- Term
- Spring 2005
- Level
- Graduate
- What's inside
- 1 lecture note · 1 reading · 8 other files · 3 web pages
- Materials open
- MIT OCW
About this course
Source: MIT OpenCourseWare 6.881 Representation and Modeling for Image Analysis, Spring 2005, Prof. Polina Golland — 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 26 items is confirmed. No assignments or exams were found for this course, so it stays as organized materials rather than a full course order.
Not included here
37 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. (37 items)
Materials by section
Grouped by section, as MIT organized them. Not sequenced or ordered.
Lecture Notes
- Representation and Modeling for Image Analysis Download
- Face Recognition Using Eigenfaces Download
- Shape Influence in Geodesic Active Contours Download
- Variational Methods, Belief Propagation, & Graphical Models Download
Projects
Course outline
Calendar · Lecture Notes
Lecture 2: Eigenfaces
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Lecture 3: Active Appearance Models
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Lecture 4: Tutorial on EM
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Lecture 5: Learning Flexible Sprites in Video Layers
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Lecture 6: LLE and other Manifold Learning Methods
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Lecture 7: EM Segmentation
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Lecture 8: Tutorial on Calculus of Variations
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Lecture 9: Mumford-Shah
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Lecture 10: Snakes
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Lecture 11: Geodesic Active Contours
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Lecture 12: Shape Based Curve Evolution
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Lecture 13: Tutorial on Clustering
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Lecture 14: Spectral Clustering
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Lecture 15: Normalized Cuts
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Lecture 16: Graph Cuts for Energy Minimization
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Lecture 17: Belief Propagation
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Lecture 18: SIFT
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Lecture 19: Constellation Model
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Lecture 20: Shape Context
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Lecture 21: Local Descriptors
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Lecture 22: Object Recognition
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Lecture 23: Finite Element Models
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Lecture 24: Non-rigid Registration using B-splines
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Lecture 25: Belief Propagation in Image Analysis
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Lecture 26: Doing Photogrammetry Right
MIT OpenCourseWare, Prof. Polina Golland, 6.881 Representation and Modeling for Image Analysis, Spring 2005.
License: CC BY-NC-SA 4.0 · Edition: Spring 2005 · Open the original course on OCW ↗
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