Math for Computer Graphics and Computer Vision
From Math Images
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More examples may be found in the lecture slides of [http://www.cs.drexel.edu/~david/Classes/CS430 CS 430].  More examples may be found in the lecture slides of [http://www.cs.drexel.edu/~david/Classes/CS430 CS 430]. 
Revision as of 15:46, 21 June 2011
Not surprisingly, the mathematics used in computer graphics was touched upon by the students at Drexel and Swarthmore during the summer of '09. Some of the Helper Pages, in particular are needed topics for some of the image pages, and for computer graphics.
As students turned their creative talents on these topics we decided to open this repository of software devoted to understanding them. Our hope is that it will develop into a useful resource for students and faculty in both disciplines. Please contribute your good material!
The following is a list of mathematical topics used in computer graphics. The original list was provided by Drexel professor David Breen.
 2D, 3D, 4D real spaces; affine subspaces; homogeneous coordinates
 Vectors and Matrices
 Graphics primitives
 2D primitives developed from triangles: fans, strips
 Convexity and convex sums
 3D models based on 2D faces
 Do we save machine representations for the CG course?
 Transformations

 Primitive geometric transformations
 Creating general transformations via sequences of primitives
 Inverse transformations via primitives
 Do we include transformation stacks?
 This might well be phrased in terms of the viewing transformation
 Hierarchical coordinate systems
 Geometry
 Implicit geometry  lines, circles, ellipses
 Implicit Surfaces  quadrics, superquadrics
 Implicit Equations
 Parametric geometry  lines, circles, ellipses
 Curves (CatmullRom, Bezier, Bspline)
 Parametric surfaces  quadrics, superquadrics, others
 Bezier patches
 Subdivision surfaces
 Procedural Image
 Surface normals
 Techniques of computing them from analytic and nonanalytic cases
 Silhouette edges
 Procedural texture maps
 Noise
 Rayobject intersection
 Bounding spheres and boxes?
 Perspective and parallel planar projections
 Nonplanar projections
 Edge detection
 Fourier analysis and convolution
More examples may be found in the lecture slides of CS 430.