Rasterization. Rasterization (scan conversion) Digital Differential Analyzer (DDA) Rasterizing a line. Digital Differential Analyzer (DDA)

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CSCI 420 Computer Graphics Lecture 14 Rasterization Jernej Barbic University of Southern California Scan Conversion Antialiasing [Angel Ch. 6] Rasterization (scan conversion) Final step in pipeline: rasterization From screen coordinates (float) to pixels (int) Writing pixels into frame buffer Separate buffers: depth (z-buffer), display (frame buffer), shadows (stencil buffer), blending (accumulation buffer) 1 2 Rasterizing a line Digital Differential Analyzer (DDA) Represent line as Then, if Δx = 1 pixel, we have Δy = m Δx = m 3 4 Digital Differential Analyzer Digital Differential Analyzer (DDA) Assume write_pixel(int x, int y, int value) for (i = x1; i <= x2; i++) { y += m; write_pixel(i, round(y), color); Problems: Requires floating point addition Missing pixels with steep slopes: slope restriction needed Assume 0 m 1 Exploit symmetry Distinguish special cases But still requires floating point additions! 5 6 1

Bresenham s Algorithm I Eliminate floating point addition from DDA Assume again 0 m 1 Assume pixel centers halfway between integers Bresenham s Algorithm II Decision variable a b If a b > 0 choose lower pixel If a b 0 choose higher pixel Goal: avoid explicit computation of a b Step 1: re-scale d = (x 2 x 1 )(a b) = Δx(a b) d is always integer 7 8 Bresenham s Algorithm III Compute d at step k +1 from d at step k! Case: j did not change (d k > 0) a decreases by m, b increases by m (a b) decreases by 2m = 2(Δy/Δx) Δx(a-b) decreases by 2Δy Bresenham s Algorithm IV Case: j did change (d k 0) a decreases by m-1, b increases by m-1 (a b) decreases by 2m 2 = 2(Δy/Δx 1) Δx(a-b) decreases by 2(Δy - Δx) 9 10 Bresenham s Algorithm V So d k+1 = d k 2Δy if d k > 0 And d k+1 = d k 2(Δy Δx) if d k 0 Final (efficient) implementation: void draw_line(int x1, int y1, int x2, int y2) { int x, y = y0; int dx = 2*(x2-x1), dy = 2*(y2-y1); int dydx = dy-dx, D = (dy-dx)/2; Bresenham s Algorithm VI Need different cases to handle m > 1 Highly efficient Easy to implement in hardware and software Widely used for (x = x1 ; x <= x2 ; x++) { write_pixel(x, y, color); if (D > 0) D -= dy; else {y++; D -= dydx; 11 12 2

Outline Scan Conversion for Lines Antialiasing Scan Conversion of Polygons Multiple tasks: Filling polygon (inside/outside) Pixel shading (color interpolation) Blending (accumulation, not just writing) Depth values (z-buffer hidden-surface removal) Texture coordinate interpolation (texture mapping) Hardware efficiency is critical Many algorithms for filling (inside/outside) Much fewer that handle all tasks well 13 14 Filling Convex Polygons Find top and bottom vertices List edges along left and right sides For each scan line from bottom to top Find left and right endpoints of span, xl and xr Fill pixels between xl and xr Can use Bresenham s algorithm to update xl and xr xl xr Concave Polygons: Odd-Even Test Approach 1: odd-even test For each scan line Find all scan line/polygon intersections Sort them left to right Fill the interior spans between intersections Parity rule: inside after an odd number of crossings 15 16 Edge vs Scan Line Intersections Brute force: calculate intersections explicitly Incremental method (Bresenham s algorithm) Caching intersection information Edge table with edges sorted by y min Active edges, sorted by x-intersection, left to right Process image from smallest y min up Concave Polygons: Tessellation Approach 2: divide non-convex, non-flat, or non-simple polygons into triangles OpenGL specification Need accept only simple, flat, convex polygons Tessellate explicitly with tessellator objects Implicitly if you are lucky Most modern GPUs scan-convert only triangles 17 18 3

Flood Fill Draw outline of polygon Pick color seed Color surrounding pixels and recurse Must be able to test boundary and duplication More appropriate for drawing than rendering Outline Scan Conversion for Lines Antialiasing 19 20 Aliasing More Aliasing Artifacts created during scan conversion Inevitable (going from continuous to discrete) Aliasing (name from digital signal processing): we sample a continues image at grid points Effect Jagged edges Moire patterns Moire pattern from sandlotscience.com 21 22 Antialiasing for Line Segments Use area averaging at boundary (c) is aliased, magnified (d) is antialiased, magnified Antialiasing by Supersampling Mostly for off-line rendering (e.g., ray tracing) Render, say, 3x3 grid of mini-pixels Average results using a filter Can be done adaptively Stop if colors are similar Subdivide at discontinuities one pixel 23 24 4

Supersampling Example Other improvements Stochastic sampling: avoid sample position repetitions Stratified sampling (jittering) : perturb a regular grid of samples 25 Temporal Aliasing Sampling rate is frame rate (30 Hz for video) Example: spokes of wagon wheel in movies Solution: supersample in time and average Fast-moving objects are blurred Happens automatically with real hardware (photo and video cameras) Exposure time is important (shutter speed) Effect is called motion blur Motion blur 26 Wagon Wheel Effect Motion Blur Example Achieve by stochastic sampling in time T. Porter, Pixar, 1984 16 samples / pixel / timestep Source: YouTube 27 28 Summary Basic scan line algorithm Convex vs concave Odd-even rules, tessellation Antialiasing (spatial and temporal) Area averaging Supersampling Stochastic sampling 29 5