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Classes of Polygons

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Classes of Polygons Planar polygons Simple Convex Star-shaped Non-simple Non-planar polygons Planar Polygons Definition: All points of the polygon must lie within a ... – PowerPoint PPT presentation

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Title: Classes of Polygons


1
Classes of Polygons
  • Planar polygons
  • Simple
  • Convex
  • Star-shaped
  • Non-simple
  • Non-planar polygons

2
Planar Polygons
  • Definition
  • All points of the polygon must lie within a
    plane.

3
Simple Polygons
  • Definition
  • A polygon P is simple, if no two non-consecutive
    edges intersect.

Simple
Not simple
4
Simple Polygons
  • The polygon interior is well-defined. If we
    traverse the polygon in a counter-clockwise
    direction, the interior is always to our left.

Simple
Not simple
5
Convex Polygons
  • Definition
  • A polygon P is convex, if and only if, for any
    pair of points x,y, in P the line segment between
    x and y lies entirely in P.
  • Every point can see every other point.

Convex
Concave
6
Convex Polygons
  • Alternative Definition
  • Going from point Pi to Pi1 involves making only
    left had turns.
  • Implies that the polygon vertices are ordered in
    a counter-clockwise fashion.
  • Implies cross-products of adjacent edges are
    positive.
  • Convex polygons are of course, simple.

7
Triangles
  • Any three non-colinear points determine a
    triangle.
  • Planar
  • Convex
  • Cross products can determine the normal (A,B,C)T
    to the triangle (plane).
  • Plane Ax By Cz D 0, where D can be
    solved using any of the three points.

8
Star-Shaped Polygons
  • Definition
  • A star-shaped polygon, P, is a simple polygon
    which contains a non-empty set, K of points, such
    that every point in K is visible from any other
    point in the polygon. The set K is called the
    kernel of P.
  • A convex polygon is a star-shaped polygon whose
    kernel is equal to the interior of P.

9
Star-Shaped Polygons
  • The kernel can easily be determined by clipping
    the polygon to the half-planes defined by each
    edge.

10
Non-Planar Polygons
  • In 3D computer graphics, we often have to deal
    with non-planar polygons.
  • Longitude/latitude grid on a sphere.
  • Polygonal approximations to smooth surfaces.

11
More Polygonal Definitions
  • Convex Hull The convex hull of a polygon P, is
    the smallest convex polygon that contains P.
  • Diagonal A line segment lying entirely inside
    polygon P and joining two non-consecutive
    vertices pi and pk
  • Principal vertex A vertex pi of simple polygon
    P is called a principal vertex if the diagonal
    (pi-1, pi1) intersects the boundary of P only at
    pi-1 and pi1.

Not a principal vertex
diagonal
Convex hull
12
More Polygonal Definitions
  • Ear A principal vertex pi of a simple polygon P
    is called an ear if the diagonal (pi-1, pi1)
    lies in the interior of P.
  • Mouth A principal vertex pi of a simple polygon
    P is called a mouth if the diagonal (pi-1, pi1)
    lies in the exterior of P.

13
Some Theorems
  • One-Mouth Theorem Except for convex polygons,
    every simple polygon has at least one mouth.
  • Two-Ears Theorem Except for triangles, every
    simple polygon has at least two non-overlapping
    ears.

14
Polygonal Tricks
  • Area
  • Test for concave/convex.

15
Polygonal Area
  • Convex polygons
  • Take any point inside the polygon and compute the
    area of all triangles formed with one edge and
    the point.

Actually, we can take any point and do this, if
we give the area of the triangles a signed value.
16
Triangle Area
  • The good old cross product
  • A?B area of parallel-piped
  • 2area of triangle.
  • For 2D triangles, the magnitude is the absolute
    value ofthe z-component.

B
A
Area ½?AxBy-AyBx ?
17
Polygonal Area
  • Vectors Choose the point to be the origin, then
    the vectors are simply the points on the polygon.
  • Convex polygon
  • Area

18
Polygonal Area
  • Wow!!! This actually works for any simple polygon.

19
Convexity Test
  • We can easily determine whether a polygon is
    convex or concave, and whether it is order
    clockwise or counter-clockwise.
  • Examine the cross products between adjacent
    edges. If they are all the same sign, then the
    polygon is convex, otherwise it is concave.
  • If the area computed as before is positive, then
    the ordering is in a counter-clockwise fashion.

20
Efficient Scan-Conversion
  • Convex polygons
  • Triangles

21
Scan-Converting Convex Polygons
  • What is the intersection of a line with a convex
    polygon?

22
Scan-Converting Convex Polygons
  • Any line will intersect a convex polygon in at
    most 2 locations.
  • This greatly simplifies our active edge table.
  • Simply keep a current x-left and an x-right
    intersection.
  • Update the slopes on scan-lines where new
    edgesstart.

23
Scan-Converting Triangles
  • Special cases
  • One horizontal edge.
  • For yymin to ymax
  • Draw from x-left to x-right
  • Update x-left and x-right

24
Scan-Converting Triangles
  • General cases
  • Divide into two special cases.
  • One quick split at middle vertex and 2 very tight
    for loops.

25
Triangulations
  • To avoid problems with non-planar polygons, as
    well as simplify the scan-conversion process, we
    can triangulate a polygon before we rasterize it.
  • A triangulation of a simple polygon P consists of
    n-3 diagonals, or n-2 triangles.

26
Triangulation Algorithms
  • Convex polygons are trivial.
  • Star-shaped polygons can also be dealt with
    rather easily.
  • Can also use splitting algorithms as described in
    the book. These add additional vertices, but may
    be simpler.

27
Triangulating Convex Polygons
  • Pick any vertex i.
  • Connect the vertices (i,k,k1) for all k? i, i-1.

28
Triangulating Concave Polygons
  • While polygon P is not a triangle
  • Find an ear of P.
  • Remove the ear from P.
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