Rasterization: Transformations

Related lectures (32)

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Explores affine coordinate transformation, satellite tracking, and challenges in map projections.

Explores Galilean transformations in spacetime, focusing on measurements and coordinate transformations.

Provides an overview of image formation and transformation principles in computer vision.

Covers transforming surface normals, forced perspective, shading algorithms, and input values computation in fragment shaders.

Explores isometries in Euclidean spaces, including translations, rotations, and linear symmetries, with a focus on matrices.

Covers the Galerkin method in the Finite Element Method for solving non-homogeneous Dirichlet problems.

Covers Gaussian random variables, affine transformations, and linear systems driven by Gaussian noise in multivariable control.

Explores Gaussian processes, linear systems, transformations, and noise properties in multivariable control applications.

Explores the georeferencing of images, covering methodology steps, transformations, resampling, and practical application using QGIS software.

Covers the concept of affine transformations in functions, including shifting and compressing functions.