Computer Vision: Image Formation and Transformation

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Explores the history and techniques of computer vision, covering image formation, transformation, dynamic perspectives, and 3D estimation cues.

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

Explores drone imaging analysis using Meshroom software for civil engineering applications.

Discusses geometric stereo principles and depth recovery techniques using stereo vision methods.

Explores visual intelligence, image formation, computer vision, and representation understanding in machines and minds.

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

Discusses edge detection techniques and the evolution of deep learning in neural networks.

Covers the fundamentals of computer vision, illusions, challenges, applications, and history.

Covers 2D transformations, linear maps, matrices, affine transformations, and orthogonal transformations.

Covers image registration and transformation using MultiStackReg plugin in Fiji.