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Massachusetts Institute of Technology
6.801 | Machine Vision
6.801
| Machine Vision
Massachusetts Institute of Technology
23 documents
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Explore all documents for 6.801 | Machine Vision
Lecture 6 Notes: Photometric Stereo, Noise Gain, Error Amplification, Eigenvalues and Eigenvectors Review
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
Lecture 9 Notes: Shape from Shading, General Case - From First Order Nonlinear PDE to Five ODEs
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
Lecture 21 Notes: Relative Orientation, Binocular Stereo, Structure from Motion, Quadrics, Camera Calibration, Reprojection
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
Lecture 19 Notes: Absolute Orientation in Closed Form, Outliers and Robustness, RANSAC
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
Lecture 17 Notes: Photogrammetry, Orientation, Axes of Inertia, Symmetry, Absolute, Relative, Interior, and Exterior Orientation
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
Lecture 3 Notes: Time to Contact, Focus of Expansion, Direct Motion Vision Methods, Noise Gain
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
Lecture 12 Notes: Blob Analysis, Binary Image Processing, Use of Green’s Theorem, Derivative and Integral as Convolutions
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
Lecture 23 Notes: Gaussian Image and Extended Gaussian Image, Solids of Revolution, Direction Histograms, Regular Polyhedra
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
Lecture 4 Notes: Fixed Optical Flow, Optical Mouse, Constant Brightness Assumption, Closed Form Solution
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
Lecture 8 Notes: Shape from Shading, Special Cases, Lunar Surface, Scanning Electron Microscope, Green’s Theorem in Photometric Stereo
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
Lecture 7 Notes: Gradient Space, Reflectance Map, Image Irradiance Equation, Gnomonic Projection
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
Lecture 18 Notes: Rotation and How to Represent It, Unit Quaternions, the Space of Rotations
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
6.801/ 6.866 Machine Vision, Quiz 1 Review
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
Lecture 14 Notes: Inspection in PatQuick, Hough Transform, Homography, Position Determination, Multi-Scale
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
Lecture 5 Notes: TTC and FOR MontiVision Demos, Vanishing Point, Use of VPs in Camera Calibration
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
Lecture 2 Notes: Image Formation, Perspective Projection, Time Derivative, Motion Field
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
Lecture 13 Notes: Object Detection, Recognition and Pose Determination, PatQuick (US 7,016,539)
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
Lecture 22 Notes: Exterior Orientation, Recovering Position and Orientation, Bundle Adjustment, Object Shape
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
Lecture 20 Notes: Space of Rotations, Regular Tessellations, Critical Surfaces in Motion Vision and Binocular Stereo
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
Lecture 11 Notes: Edge Detection, Subpixel Position, CORDIC, Line Detection (US 6,408,109)
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
Lecture 16 Notes: Fast Convolution, Low Pass Filter Approximations, Integral Images (US 6,457,032)
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
Lecture 15 Notes: Alignment, Recognition in PatMax, Distance Field, Filtering and Sub-Sampling (US 7,065,262)
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
Lecture 10 Notes: Characteristic Strip Expansion, Shape from Shading, Iterative Solutions
Massachusetts Institute of Technology
6.801 | Machine Vision
Lecture Note
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