Lectures related to Untitled | EPFL Graph Search

Covers translations, homotheties, and their analytical expressions, emphasizing stability by composition.

Covers the transformation of vectors and tensors in quantum physics.

Explores the transformation of vectors and tensors, including rotations and representations in quantum physics.

Covers the principles and practice of georeferencing images using various formats and software tools like QGIS.

Explores the transformation of vectors and tensors in quantum physics, emphasizing Lie groups and algebras.

Explores geometric transformations, symmetries, inversion, and isometries in plane geometry.

Covers isometries, transformations preserving distances and properties related to collinearity.

Explores the intrinsic geometry of regular surfaces and isometric transformations, including spheres and cylinders.

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

Covers translations, homotheties, and geometric transformations using vectors and matrices.

Covers translations, homotheties, and their geometric properties, including reversibility and composition.

Explores radiometric and geometric transformations in digital image processing for improved interpretation and quality.

Explores orthogonal projection on straight lines in analytic geometry, focusing on projection matrices and symmetrical properties.

Explores volume calculation of revolution bodies using mathematical formulas and inequalities.

Explores reflection and rotation composition in analytical geometry, including finding centers and solving fixed point systems.

Explores reflections and translations in geometric transformations, demonstrating their stability and practical applications.

Explores translations and homotheties, discussing their properties and practical applications in preserving geometric characteristics.

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

Explores rotation in analytical geometry, including center coordinates and fixed points.

Covers the basics of image processing for microscopy, including acquiring, correcting defects, enhancing images, and extracting information.