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(2) In future presentations of the research findings, in addition to the course project website and public presentations, your real name and personal information will not appear in this research report. If you are interested in the research results, we can provide you with an executive summary after the study is completed.
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Uedu Open / Machine Vision / Lecture 19: Absolute Orientation in Closed Form, Outliers and Robustness, RANSAC

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

6.801 - Machine Vision
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English 中文
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
AI 學習助教
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