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Transformation matrix
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===Orthogonal projection=== {{further|Orthogonal projection}} To project a vector orthogonally onto a line that goes through the origin, let <math>\mathbf{u} = (u_x, u_y)</math> be a [[vector (geometric)|vector]] in the direction of the line. Then the transformation matrix is: <math display="block">\mathbf{A} = \frac{1}{\lVert\mathbf{u}\rVert^2} \begin{bmatrix} u_x^2 & u_x u_y \\ u_x u_y & u_y^2 \end{bmatrix}</math> As with reflections, the orthogonal projection onto a line that does not pass through the origin is an affine, not linear, transformation. [[Projection (linear algebra)|Parallel projections]] are also linear transformations and can be represented simply by a matrix. However, perspective projections are not, and to represent these with a matrix, [[Homogeneous coordinates#Use in computer graphics and computer vision|homogeneous coordinates]] can be used.
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