Parallel
Orthographic (plan-view, elevation, isometric)
Oblique (cabinet, cavalier)
Perspective (n-point perspective)
What do we do with pixels falling "on the edge (contour)" ?
This causes ambiguities, and competitive conflicts ... -- we need a
clean solution !
==> The Sampling Paradigm.
A pictorial description of the requirements for a proper scan conversion algorithm.
Look at section 5 of the notes on scan conversion for more explicit examples of rasterization.
Run
this Java applet that demonstrates scan conversion.
-- Which type of inside/outside testing does it employ ?
Now we want to implement a rasterization algorithm in an efficient manner.
Several algorithms are used in praxis. One is based on "flood-filling".
We will study and implement an algorithm based on a sweeping
scan-line.
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