What Does the F Matrix Look Like for a Linear Bezier Curve?

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SUMMARY

The discussion centers on the creation of the F matrix for linear Bézier curves, specifically referencing the GPU Gems 3 - Chapter 25 and a related academic paper. The F matrix is identified as a permutation matrix derived from the transformation of the vector ##v=[1\,\, t\,\, t^2]## to ##u=[t \,\,t^2\,\, 1]##. This transformation is achieved by rearranging the columns of the identity matrix. The quadratic case's mathematics is detailed in section 3 claim 1 of the referenced paper, providing a foundation for understanding the linear case.

PREREQUISITES
  • Understanding of Bézier curves and their mathematical representations
  • Familiarity with matrix operations, specifically permutation matrices
  • Knowledge of GPU rendering techniques as discussed in GPU Gems 3
  • Basic grasp of polynomial equations and their transformations
NEXT STEPS
  • Study the mathematical foundations of Bézier curves in GPU Gems 3 - Chapter 25
  • Examine the details of permutation matrices and their applications in computer graphics
  • Research the transformation of polynomial vectors in linear algebra
  • Explore the content of the referenced paper, focusing on section 3 claim 1 for quadratic Bézier curves
USEFUL FOR

Mathematicians, computer graphics developers, and anyone involved in rendering techniques or Bézier curve implementations will benefit from this discussion.

bobtedbob
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TL;DR
Rational linear parametric curve and its implicit
form that is a projected image of the algebraic curve
I'm looking at the following web page which looks at rendering bezier curves.

GPU Gems 3 - Chapter 25
Paper on same topic

The mathematics is quite interesting, I was interested to know what the F matrix would look like for for a linear bezier equation. The maths for the quadratic case is in the paper (2nd link) section 3 claim 1. I understand how the M matrix is calculated (and its inverse) but I don't understand how the F matrix was created.

Can someone help explain the F matrix creation process and how it would apply to the linear bezier case?

[Moderator's note: approved.]
 
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In paper (2nd link) section 3 claim 1, the matrix F is a permutation matrix. This matrix F has the given form because the vector ##v=[1\,\, t\,\, t^2]## was rewritten as ##u=[t \,\,t^2\,\, 1]##. This is represented by the matrix F, which is the identity matrix, rewritten with colluns in different order.

It is not clear to me what you mean with the linear bezier case. Is this case? You can find some results on Bézier curves on SearchOnMath that can helps you.
 
Last edited:

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