« previous | Monday, March 31, 2014 | next »
No class Wednesday
Smooth Curves
Represented as polynomials:
Power Basis
We can mess with coefficients, but it's hard to predict what the shape will look like just by modifiying coefficients.
Not intuitive.
Interpolation
Find a polynomial that passes through the specified values
Interpolate for each component
and
.
Lagrange Interpolation
Identical to matrix method, but uses a (recursive) geometric construction
Start with line from
to
:
Add line from
to
:
What about quadratic?
In our example,
What about cubic through 4 points?
- find quadratic of first 3 points
- find quadratic of last 3 points
- find linear interpolation of both functions
Basis: linear interpolation between two points
Induction:
- Assume we have points

- Build polynomial interpolating polynomials
,
of degree
for
and 

Problem: artifacts (oscillation) formed by pulling a single point out of line.
Bezier Curves
Polynomial curves that seek to approximate rather than interpolate.
Bernstein Polynomials
- Degree 1:
, 
- Degree 2:
,
, 
- Degree 3:
,
,
, 
- Degree
:
for
.
Bezier curves are just
for control points
Properties
- Interpolates endpoints exactly
- tangent at endpoints is in direction of first and last edge
- curve lies within the convex hull of the control points