1	CS248 Midterm Review Michael Green and Sean Walker (based on the work of previous TAs)
2	CS248 Midterm Mon, November 1, 7-9 pm, Gates B01 Mostly “short answer” questions Keep your answers short and sweet! Covers lectures up to Tuesday, Oct 26 plus taxonomy from start of last lecture Review session slides available from class website Exam is closed book, closed notes
3	Raster Displays, Resolution, Perception CRTs 3 phosphors for “red”, “green”, and “blue” Triads and shadow mask Measures of spatial resolution physical vs. addressable resolution
4	Human spatial frequency sensitivity Sensitivity highest in fovea Frequency sensitivity Phase sensitivity (Vernier acuity) Temporal sensitivity Flicker (50-70Hz) Perceived motion 12 Hz = cartoons, 24 Hz = film, 60 Hz = video
5	Raster Displays, Resolution, Perception Human intensity sensitivity Response to intensity is nonlinear Gamma in cameras, CRTs Gamma correction
6	Raster Displays, Resolution, Perception Sample (easy) question: A scene is photographed with a TV camera with gamma=0.5 and displayed on a CRT with gamma=2.4. If we want system gamma to be 1.0, we should do gamma correction with what exponent?
7	Color Perception of color Humans are trichromat Three cones sensitive to “red”, “green”, and “blue” Overlapping response curves Know their general shapes! Color matching Color matching experiment
8	Color spaces Linear colorspaces r, g, b space (perceptual stimulus) R, G, B space X, Y, Z space Non-linear colorspaces HSV Spectral locus Gamut of reproducible colors
9	Color Sample questions: 1. Circle those colors that are not reproducible with a single monochromatic light Red Yellow Blue Magenta White Green
10	Color Sample questions: 2. If you had a special CRT that could produce pure spectral colors, how many spectral colors would you need to represent a normal RGB color gamut? How about the spectral locus?
11	Sampling and Antialiasing The sampling and reconstruction pipeline: Prefiltering Sampling Resampling Reconstruction Aliasing in the frequency domain Filtering and convolution Duality: F(x)*G(x) <=> F(w)G(w)
12	Sampling and Antialiasing Prefiltering vs. postfiltering Desirable filters for antialiasing Box, pyramid, gaussian, sinc Methods of antialiasing Supersampling: regular vs. stochastic Analytical antialiasing
13	Sampling and Antialiasing Sample questions: What is the result of convolving a 1-D box filter with itself? Which of the following would affect your choice of a reconstruction filter? pixel shape choice of prefilter actual size of display
14	Rasterization Rasterization of lines DDA, incremental algorithm Rasterization of polygons Only pixels in the polygon Supersampling Patterns: understand its effect on the image
15	Rasterization Sample question: If you rasterized this line using DDA, which pixels would get turned on?
16	Digital Compositing What is compositing? The compositing approximation Conditions for validity
17	Compositing algebra
18	Digital Compositing Sample question: You are doing the special effects for a movie, and need to composite a computer generated object over a live background. Why should you use an 8-bit alpha matte rather than a binary (1-bit) matte, even if the computer-generated object is fully opaque?
19	Transformations Homogeneous coordinates – why? Matrices rotation, translation, scale, shear in 2D, 3D Know the form of each kind Geometric properties preserved/changed by each kind Composing transformations multiply matrices in reverse order
20	Transformations Sample questions Compute the 2D transform that translates an object centered at (-3,4) to the origin, then rotates it by +45^o, then translates it to (10,5). What sequence of transforms would cause the triangle to change as shown below ?
21	GOOD LUCK AND HAPPY HALLOWEEN!