1. CS248 Midterm Review

2. CS248 Midterm Mon, November 5, 7-9 pm, Terman Aud Mon, November 5, 3-5 pm, Gates 392 Mostly “short answer” questions Covers through Thursday’s lecture

3. Raster Displays, Resolution, Perception Measures of spatial resolution – physical vs. addressable resolution CRTs – 3 phosphors for “red”, “green”, and “blue” – Triads and shadow mask

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 Dithering – Trade off spatial resolution for intensity res.

6. Raster Displays, Resolution, Perception Sample (easy) questions: 1. 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? 2. You are doing clustered-dot dithering on an image for output on a 300 dpi laser printer. If you need at least 75 dpi “effective” resolution, how many shades of gray can you output?

7. Color Perception of color – Humans are trichromat Three cones sensitive to “red”, “green”, and “blue” – Overlapping response curves Color matching – Color matching experiment – Metamers

8. Color spaces Linear colorspaces – , ,  space (perceptual stimulous) – R, G, B space – X, Y, Z space Non-linear colorspaces – HSV Spectral locus Gamut of reproducible colors

9. Color Sample questions: 1. Can your printer necessarily reproduce all colors that your monitor can reproduce if they both use RGB primaries? 2. You are wearing glasses that block all light from the lower third of the visible spectrum, what color does the world look tinted?

10. Sampling and Antialiasing The sampling and reconstruction pipeline: – Prefiltering – Sampling – Resampling – Reconstruction Aliasing – Frequency domain interpretation

11. Sampling and Antialiasing Filtering and convolution Prefiltering vs. postfiltering Desirable filters for antialiasing – Box, pyramid, gaussian, sync Methods of antialiasing – Supersampling – Analytic antialiasing

12. Sampling and Antialiasing Sample questions: 1. What is the result of convolving a 1-D box filter with itself? 2. If we want to be sure to avoid aliasing, should we choose a filter slightly narrower or slightly wider than a pixel?

13. Digital Compositing The compositing approximation – Conditions for validity Deriving alpha mattes – Blue screen – Computing while rendering Compositing algebra

14. 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?

15. Rasterization Rasterization of lines – Definition of “one-pixel-thick” line – which points get rasterized? Rasterization of polygons – Only pixels in the polygon Supersampling – Patterns

16. Rasterization Sample question: – If you rasterized this line, which pixels would get turned on?

17. Transformations Homogeneous coordinates – why? Matrices rotation, translation, scale, shear in 2D, 3D – Know the form of each kind Composing transformations – multiply matrices in reverse order

18. Transformations Sample question: What is the transformation between vector1 and vector2?