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Instructor: Berthold Horn
View the complete course: https://ocw.mit.edu/6-801F20
YouTube Playlist: https://www.youtube.com/playlist?list...

This course is an introduction to the process of generating a symbolic description of the environment from an image. It covers the physics of image formation, image analysis, binary image processing, and filtering. Machine vision has applications in robotics and the intelligent interaction of machines with their environment. Students taking the graduate version complete additional assignments.

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1:19:53

Lecture 1: Introduction to Machine Vision

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1:21:14

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

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1:27:06

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

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1:22:56

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

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1:20:46

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

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1:27:25

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

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1:26:35

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

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1:26:10

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

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1:26:02

Lecture 9: Shape from Shading, General Case - From First Order Nonlinear PDE to Five ODEs

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1:26:34

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

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1:26:55

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

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1:27:16

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

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1:23:15

Lecture 13: Object Detection, Recognition and Pose Determination, PatQuick (US 7,016,539)

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1:26:11

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

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1:24:08

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

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1:27:40

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

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1:27:43

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

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1:26:31

Lecture 18: Rotation and How to Represent It, Unit Quaternions, the Space of Rotations

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1:25:48

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

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1:22:23

Lecture 20: Space of Rotations, Regular Tessellations, Critical Surfaces, Binocular Stereo

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1:27:05

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

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1:32:30

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

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1:29:56

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