Loading presentation...

Present Remotely

Send the link below via email or IM

Copy

Present to your audience

Start remote presentation

  • Invited audience members will follow you as you navigate and present
  • People invited to a presentation do not need a Prezi account
  • This link expires 10 minutes after you close the presentation
  • A maximum of 30 users can follow your presentation
  • Learn more about this feature in our knowledge base article

Do you really want to delete this prezi?

Neither you, nor the coeditors you shared it with will be able to recover it again.

DeleteCancel

Make your likes visible on Facebook?

Connect your Facebook account to Prezi and let your likes appear on your timeline.
You can change this under Settings & Account at any time.

No, thanks

Computer Graphics-Linear Algebra

No description
by

Nicole Hill

on 4 May 2011

Comments (0)

Please log in to add your comment.

Report abuse

Transcript of Computer Graphics-Linear Algebra

Applications of Computer and Video Graphics within Linear Algebra

By: Nicole Hill, Emily Deane & Bryan Combs Linear Algebra- the backbone of many applications from computer graphics to gaming

Projections
Squeezing
Shear Mapping
Scaling
Rotations
Reflections Projections

Linear transformations from a vector space to itself
Leaves the image unchanged
Two Types of graphical projections: Parallel Projections & Perspective Projections Parallel Projections
line of sight formations from the object to the projection plane which are parallel with one another
pictorials-show an image as an object viewed from a skew directions in order to reveal all three axes of space
Perspective Projections
Lines emerging from a single point
A 2D projection being viewed as though through a camera lens
Gives the effect of distant obects appearing smaller Linear Mapping
a mapping defined from one vector space to another that is linear
operations of vector addition and scalar multiplication Shear Mapping (also called transvection)
All the points move parallel to a fixed line or plane, in such a way that the distance a point moves is proportional to its distance from that line or plane Scaling
a linear transformation which enlarges or shrinks an object by a scale factor Rotations
linear transformations represented by orthogonal matrices with determinant 1
Since linear transformations are determined by their action on a basis, we will look at the standard basis in R2. The vectors <1,0> and <0,1> when rotated, arrive at new coordinates described by Reflections(may also be described as the product of two reflections)
Reflections across an axis that passes through the origin are linear transformations
Consists of finding the distance from each point to the axis (line in 2D, plane in 3D), and mapping it to a corresponding point the same distance from the axis on the opposite side. The result, interpreted visually, is a “mirror image” of the object being reflected about the axis.
Full transcript