Rasterization and Transformations

Related lectures (29)

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Explores orthogonal matrices and transformations, emphasizing preservation of norms and angles.

Introduces orthogonal and symmetric matrices in linear algebra with practical examples.

Explores the challenges of 3D space, focusing on transforming dihedra configurations from convex to concave.

Explores modern geometric transformations and invariances, focusing on projective geometry and historical developments.

Explores orthogonal projections, symmetry of matrices, and their applications.

Explores the concept of inversion relative to a circle and its applications in constructing orthogonal circles.

Introduces a new online format for the geometry course, emphasizing the study of isometries and the modern interpretation of symmetry.

Covers linear transformations using matrices, focusing on linearity, image, and kernel.

Explores orthogonal matrices, eigenvalues, and orientation-preserving transformations in linear algebra.

Covers linear applications, matrices, transformations, and the principle of superposition.