greens theorem

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1. 1▶Lecture 13: Object Detection, Recognition and Pose Determination, PatQuick (US 7,016,539)MIT 6.801 Machine Vision, Fall 2020Notes
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2. 2▶Lecture 9: Shape from Shading, General Case - From First Order Nonlinear PDE to Five ODEsMIT 6.801 Machine Vision, Fall 2020Notes
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3. 3▶Lecture 10: Characteristic Strip Expansion, Shape from Shading, Iterative SolutionsMIT 6.801 Machine Vision, Fall 2020Notes
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4. 4▶Lecture 8: Shading, Special Cases, Lunar Surface, Scanning Electron Microscope, Green's TheoremMIT 6.801 Machine Vision, Fall 2020Notes
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5. 5▶Lecture 15: Alignment, PatMax, Distance Field, Filtering and Sub-Sampling (US 7,065,262)MIT 6.801 Machine Vision, Fall 2020Notes
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6. 6▶Lecture 14: Inspection in PatQuick, Hough Transform, Homography, Position Determination, Multi-ScaleMIT 6.801 Machine Vision, Fall 2020Notes
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7. 7▶Lecture 5: TCC and FOR MontiVision Demos, Vanishing Point, Use of VPs in Camera CalibrationMIT 6.801 Machine Vision, Fall 2020Notes
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8. 8▶Lecture 2: Image Formation, Perspective Projection, Time Derivative, Motion FieldMIT 6.801 Machine Vision, Fall 2020Notes
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9. 9▶Lecture 4: Fixed Optical Flow, Optical Mouse, Constant Brightness Assumption, Closed Form SolutionMIT 6.801 Machine Vision, Fall 2020Notes
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10. 10▶Lecture 12: Blob Analysis, Binary Image Processing, Green's Theorem, Derivative and IntegralMIT 6.801 Machine Vision, Fall 2020Notes
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