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