Image Processing I

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Page 3 of 4

Convex Functions: Theory and Applications

Explores convex functions, affine transformations, pointwise maximum, minimization, Schur's Lemma, and relative entropy in mathematical optimization.

Projections, Transformations: MN03-MN95

Explores Swiss survey frameworks, continuous territory transformation, satellite tracking principles, and ellipsoid coordinate conversion.

Signals, Instruments, and Systems

Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.

Isometries: Definition and Examples

Explores isometries, distinguishing between rotations and reflections, and the preservation of orientation in geometric transformations.

Rasterization and Transformations

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

Convex Optimization: Theory and Applications

Explores the theory and applications of convex optimization, covering topics such as log-determinant function, affine transformations, and relative entropy.

Properties of Fourier Transform

Explores the properties and applications of the Fourier transform in signal processing and mathematics.

Axonometry: Image of Points and True Magnitude of Segments

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

Convex Functions: Theory and Applications

Explores convex functions, including checking convexity, transformations, examples, minimization, geometric intuition, Schur's Lemma, distance function, perspective function, and relative entropy.

Sampling Theorem and Control Systems

Explores the Sampling Theorem, digital control, signal reconstruction, and anti-aliasing filters.