'2d transformations' diaporamas de présentation

2D transformations (a.k.a. warping)

2D transformations (a.k.a. warping). 16-385 Computer Vision Spring 2019, Lecture 7. http://www.cs.cmu.edu/~16385/. Course announcements. Homework 2 is posted on the course website. - It is due on February 27 th at 23:59 pm.

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H331: Computer Graphics

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Image warping Li Zhang CS559

Image warping Li Zhang CS559. Slides stolen from Prof Yungyu Chuang http://www.csie.ntu.edu.tw/~cyy/courses/vfx/07spring/overview/. What is an image. We can think of an image as a function, f : R 2 ? R: f ( x, y ) gives the intensity at position ( x, y )

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H331: Computer Graphics

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Introduction to Computer Graphics CS 445 / 645

Introduction to Computer Graphics CS 445 / 645. Lecture 5 Transformations. M.C. Escher – Smaller and Smaller (1956). Modeling Transformations. Specify transformations for objects Allows definitions of objects in own coordinate systems

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Introduction to Computer Graphics CS 445 / 645

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ICS 415 Computer Graphics Transformation

ICS 415 Computer Graphics Transformation. Dr. Muhammed Al-Mulhem March 1, 2009. Overview. 2D Transformations Basic 2D transformations Matrix representation Matrix composition 3D Transformations Basic 3D transformations Same as 2D. Modeling Transformations.

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Introduction to Computer Graphics CS 445 / 645

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Modeling Transformation

Modeling Transformation. Overview. 2D Transformation Basic 2D transformations Matrix representation Matrix Composition 3D Transformation Basic 3D transformations Same as 2D Transformation Hierarchies Scene graphs Ray casting. Modeling Transformation.

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Transformation of objects 2D transformations 3D transformations Matrix representation

Transformation of objects 2D transformations 3D transformations Matrix representation OpenGL functions. Rendering Pipeline. Rendering Pipeline. Basic 2D Transformations. Basic 2D Transformations. Matrix representation. Combination of 2D transformations. 2x2 matrices. 2x2 matrices.

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Guessing intelligently (interpolation)

Guessing intelligently (interpolation). Prof. Graeme Bailey http://cs1114.cs.cornell.edu (notes modified from Noah Snavely, Spring 2009). Manipulating images. These photos are too small: How can we enlarge them?

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Transformations III Week 2, Fri Jan 19

http://www.ugrad.cs.ubc.ca/~cs314/Vjan2007. Transformations III Week 2, Fri Jan 19. Readings for Jan 15-22. FCG Chap 6 Transformation Matrices except 6.1.6, 6.3.1 FCG Sect 13.3 Scene Graphs RB Chap Viewing Viewing and Modeling Transforms until Viewing Transformations

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CS 691 Computational Photography

CS 691 Computational Photography. Instructor: Gianfranco Doretto Image Warping. f. f. f. T. T. x. x. x. f. x. Image Transformations. Image Filtering : change range of image g(x ) = T(f(x )). I mage W arping : change domain of image g(x ) = f(T(x )). T. T.

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Chapter 4

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Image transformations

Image transformations. Prof. Noah Snavely CS1114 http://cs1114.cs.cornell.edu. Administrivia. Assignment 4 will be out by tomorrow Due the Friday after spring break Quiz 3 next time Topics: convex hull, interpolation, image transformations. Last time: interpolation. Example:

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Chapter 4

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Image Warping

Image Warping. http://www.jeffrey-martin.com. 15-463: Computational Photography Alexei Efros, CMU, Fall 2012. Some slides from Steve Seitz. f. f. f. T. T. x. x. x. f. x. Image Transformations. image filtering: change range of image g(x) = T(f(x)).

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Computing Surfaces a platform for scalable interactive displays

Computing Surfaces a platform for scalable interactive displays. Alban Rrustemi. Microsoft Research Cambridge 30-June-2009. Overview. Information displays Emerging display technologies Display resolution Technology limitations Computing surfaces A distributed architecture Implications

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2D TRANSFORMATIONS

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