Coordinate Systems and Frames: LocSat - Session 2

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Page 3 of 4

Explains axonometry, focusing on image of points and true magnitude of segments in 3D space.

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

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

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

Covers affine transforms, rotation, shear, and bilinear interpolation for image manipulations.

Covers the fundamental concepts of kinematics, including position, velocity, and acceleration in different coordinate systems.

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

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

Explores local diffeomorphisms and their properties, including local inverses and neighborhood mappings.

Covers position, velocity, and acceleration in polar, cylindrical, and spherical coordinate systems.