Machine Vision

Calendar

Lecture #	Topics	Key Dates
1	Overview and image formation. Where will it image? How bright will it be? How can we invert image formation?	Homework 1 Assigned
2	Image formation, perspective projection, time derivative, and motion field
3	Time to contact, focus of expansion, direct motion vision methods, and noise gain	Homework 2 Assigned
4	Fixed optical flow, optical mouse, constant brightness assumption, and closed form solution
5	TTC and FOR Montivision demos, vanishing point, and use of VPs in camera calibration	Homework 3 Assigned
6	Photometric Stereo, noise Gain, error amplification, eigenvalues, and eigenvectors review
7	Gradient space, reflectance map, image irradiance equation, and gnomonic projection
8	Shape from shading in special cases, lunar surface, scanning electron microscope, and Green’s theorem in photometric stereo
9	Shape from shading in general case—from first order nonlinear PDE to five ODEs	Homework 4 Assigned
10	Characteristic strip expansion, shape from shading, and iterative solutions
11	Edge detection, subpixel position, CORDIC, and line detection (US Patent 6,408,109)	Homework 5 Assigned
12	Blob analysis, binary image processing, use of Green’s theorem, and derivative and integral as convolutions
13	Object detection, recognition and pose determination, and PatQuick (US Patent 7,016,539)
14	Inspection in PatQuick, Hough transform, homography, position determination, and multi-scale
15	Alignment, recognition in PatMAx, distance field, and filtering and sub-sampling (US Patent 7,065,262)
16	Fast convolution, low pass filter approximations, and integral images (US Patent 6,457,032)
17	Photogrammetry, orientation, axes of inertia, symmetry, and absolute, relative, interior, and exterior orientation
18	Rotation and how to represent it, unit quaternions, and the space of rotations
19	Absolute orientation in closed form, outliers and robusteness, and RANSAC
20	Space of rotations, regular tesselations, and critical surfaces in motion vision and binocular stereo
21	Relative orientation, binocular stereo, structure from motion, quadrics, camera calibration, and reprojection
22	Exterior orientation, recovering position and orientation, bundle adjustment, and object shape
23	Gaussian image and extended Gaussian image, solids of revolution, direction histograms, and regular polyhedra
24	Putting it all together