Dynamic Load Balancing Tree and Structured Computations CS433 Laxmikant Kale Spring 2001.
Geometry - University of New Mexicoangel/CS433/LECTURES/CS433_10.pdf · 2018-05-29 ·...
Transcript of Geometry - University of New Mexicoangel/CS433/LECTURES/CS433_10.pdf · 2018-05-29 ·...
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1Angel: Interactive Computer Graphics 4E © Addison-Wesley 2005
Geometry
Ed AngelProfessor of Computer Science,
Electrical and ComputerEngineering, and Media Arts
University of New Mexico
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Objectives
• Introduce the elements of geometry- Scalars- Vectors- Points
•Develop mathematical operations amongthem in a coordinate-free manner
•Define basic primitives- Line segments- Polygons
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Basic Elements
• Geometry is the study of the relationshipsamong objects in an n-dimensional space
- In computer graphics, we are interested inobjects that exist in three dimensions
• Want a minimum set of primitives from which wecan build more sophisticated objects
• We will need three basic elements- Scalars- Vectors- Points
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Coordinate-Free Geometry
• When we learned simple geometry, most of us startedwith a Cartesian approach
- Points were at locations in space p=(x,y,z)- We derived results by algebraic manipulations
involving these coordinates• This approach was nonphysical
- Physically, points exist regardless of the location ofan arbitrary coordinate system
- Most geometric results are independent of thecoordinate system
- Example Euclidean geometry: two triangles areidentical if two corresponding sides and the anglebetween them are identical
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Scalars
• Need three basic elements in geometry- Scalars, Vectors, Points
• Scalars can be defined as members of setswhich can be combined by two operations(addition and multiplication) obeying somefundamental axioms (associativity, commutivity,inverses)
• Examples include the real and complex numbersystems under the ordinary rules with which weare familiar
• Scalars alone have no geometric properties
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Vectors
•Physical definition: a vector is a quantitywith two attributes
- Direction- Magnitude
•Examples include- Force- Velocity- Directed line segments
• Most important example for graphics• Can map to other types
v
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Vector Operations
• Every vector has an inverse- Same magnitude but points in opposite direction
• Every vector can be multiplied by a scalar• There is a zero vector
- Zero magnitude, undefined orientation• The sum of any two vectors is a vector
- Use head-to-tail axiom
v -v αvv
u
w
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Linear Vector Spaces
•Mathematical system for manipulating vectors•Operations
- Scalar-vector multiplication u=αv- Vector-vector addition: w=u+v
•Expressions such asv=u+2w-3r
Make sense in a vector space
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Vectors Lack Position
• These vectors are identical- Same length and magnitude
• Vectors spaces insufficient for geometry- Need points
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Points
• Location in space•Operations allowed between points andvectors
- Point-point subtraction yields a vector- Equivalent to point-vector addition
P=v+Q
v=P-Q
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Affine Spaces
•Point + a vector space•Operations
- Vector-vector addition- Scalar-vector multiplication- Point-vector addition- Scalar-scalar operations
• For any point define- 1 • P = P- 0 • P = 0 (zero vector)
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Lines
•Consider all points of the form- P(α)=P0 + α d- Set of all points that pass through P0 in the
direction of the vector d
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Parametric Form
•This form is known as the parametric formof the line
- More robust and general than other forms- Extends to curves and surfaces
•Two-dimensional forms- Explicit: y = mx +h- Implicit: ax + by +c =0- Parametric: x(α) = αx0 + (1-α)x1 y(α) = αy0 + (1-α)y1
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Rays and Line Segments
• If α >= 0, then P(α) is the ray leaving P0 inthe direction d
If we use two points to define v, thenP( α) = Q + α (R-Q)=Q+αv=αR + (1-α)QFor 0<=α<=1 we get all thepoints on the line segmentjoining R and Q
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Convexity
•An object is convex iff for any two pointsin the object all points on the line segmentbetween these points are also in theobject
P
Q Q
P
convex not convex
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Affine Sums
•Consider the “sum”P=α1P1+α2P2+…..+αnPnCan show by induction that this sum makessense iffα1+α2+…..αn=1in which case we have the affine sum ofthe points P1,P2,…..Pn
• If, in addition, αi>=0, we have the convexhull of P1,P2,…..Pn
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Convex Hull
•Smallest convex object containing P1,P2,…..Pn
•Formed by “shrink wrapping” points
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Curves and Surfaces
•Curves are one parameter entities of theform P(α) where the function is nonlinear
•Surfaces are formed from two-parameterfunctions P(α, β)
- Linear functions give planes and polygons
P(α) P(α, β)
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Planes
•A plane can be defined by a point and twovectors or by three points
P(α,β)=R+αu+βv P(α,β)=R+α(Q-R)+β(P-Q)
u
v
R
P
RQ
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Triangles
convex sum of P and Q
convex sum of S(α) and R
for 0<=α,β<=1, we get all points in triangle
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Normals
• Every plane has a vector n normal(perpendicular, orthogonal) to it
• From point-two vector form P(α,β)=R+αu+βv, weknow we can use the cross product to find n= u × v and the equivalent form
(P(α)-P) ⋅ n=0
u
v
P