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

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

6.801 - Machine Vision

其他影片 (23)

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

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Machine Vision

課程影片 (23)

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