MIT OpenCourseWare · Education

MIT OpenCourseWare

A free and open online publication of educational material from thousands of MIT courses, covering the entire MIT curriculum, ranging from introductory to the most advanced graduate courses. On the OCW website, each course includes a syllabus, instructional material like notes and reading lists, and learning activities like assignments and solutions. Some courses also have videos, online textbooks, and faculty insights on teaching. Knowledge is your reward. There's no signup or enrollment, and no start or end dates. OCW is self-paced learning at its best. Whether you’re a student, a teacher, or simply a curious person that wants to learn, MIT OpenCourseWare (OCW) offers a wealth of insight, inspiration, videos, and a whole lot more! Get the full picture on the OCW website at https://ocw.mit.edu. Accessibility: https://accessibility.mit.edu/ User comments policy: https://ocw.mit.edu/comments/ (Channel banner photo by Nietnagel on Flickr: https://flic.kr/p/8WXxfK.)

MIT OpenCourseWare

Episodes

Lecture 10: Characteristic Strip Expansion, Shape from Shading, Iterative Solutions

Lecture 23: Gaussian Image, Solids of Revolution, Direction Histograms, Regular Polyhedra

Lecture 8: Shading, Special Cases, Lunar Surface, Scanning Electron Microscope, Green's Theorem

Lecture 15: Alignment, PatMax, Distance Field, Filtering and Sub-Sampling (US 7,065,262)

Lecture 14: Inspection in PatQuick, Hough Transform, Homography, Position Determination, Multi-Scale

Lecture 5: TCC and FOR MontiVision Demos, Vanishing Point, Use of VPs in Camera Calibration

Lecture 21: Relative Orientation, Binocular Stereo, Structure, Quadrics, Calibration, Reprojection

Lecture 17: Photogrammetry, Orientation, Axes of Inertia, Symmetry, Orientation

Lecture 16: Fast Convolution, Low Pass Filter Approximations, Integral Images (US 6,457,032)

Lecture 2: Image Formation, Perspective Projection, Time Derivative, Motion Field

Lecture 4: Fixed Optical Flow, Optical Mouse, Constant Brightness Assumption, Closed Form Solution

Lecture 12: Blob Analysis, Binary Image Processing, Green's Theorem, Derivative and Integral

Lecture 6: Photometric Stereo, Noise Gain, Error Amplification, Eigenvalues and Eigenvectors Review

Lecture 11: Edge Detection, Subpixel Position, CORDIC, Line Detection (US 6,408,109)

Lecture 1: Introduction to Machine Vision

Lecture 7: Gradient Space, Reflectance Map, Image Irradiance Equation, Gnomonic Projection

Lecture 3: Time to Contact, Focus of Expansion, Direct Motion Vision Methods, Noise Gain

Lecture 19: Absolute Orientation in Closed Form, Outliers and Robustness, RANSAC

Lecture 22: Exterior Orientation, Recovering Position & Orientation, Bundle Adjustment, Object Shape

9: Case Studies (cont.): News Articles