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Module 1 - Lecture 2 by Harsh Chauhan is a document available to read on EtoBox.

The document discusses various transformations in computer vision, including geometric, linear, orthogonal, Euclidean, affine, scaling, shearing, and projective transformations. It explains how these transformations affect the orientation, size, and shape of objects, as well as the preservation of lengths and angles. Key concepts include the use of matrices for representation and the differences between types of transformations in terms of their effects on geometric properties.

Author
Harsh Chauhan
Language
EN