'View volume' diaporamas de présentation

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??????????. 6.1 ???????????????? 6.2 ??????? 6.3 ??????? 6.4 ?????. Introduction. ??????. ???? ???? ???? ?????? ????. 6.1 ????????????????. ?? ?? ?????? ?? ?????? ?? ?? ??????. 6.1.1 ?? ?? ??????. ???????????? ???????

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3D Viewing

3D Viewing. Camera Analogy. 3D is just like taking a photograph (lots of photographs!) It uses transformations. viewing volume. camera. model. tripod. Camera Analogy and Transformations. Projection transformations adjust the lens of the camera Viewing transformations

822 views • 56 slides

Software Structures for Virtual Environments

Software Structures for Virtual Environments. Capps, Darken, Zyda Naval Postgraduate School. What does VR software look like?. One Thread, Multiple Threads Important Subsystems Real-Time Rendering - Polygon Culling & Level of Detail Processing Real-Time Collision Detection and Response

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Viewing III

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The Camera and Perspective Projection

The Camera and Perspective Projection. The camera has an eye ( or view reference poin t VRP ) at some point in space.

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3D Viewing III

3D Viewing III. By Andries van Dam. Viewing in Three Dimensions Mathematics of Projections. Lecture roadmap mathematics of planar geometric projections how to get from view specification to 2D image? deriving 2D image from 3D view parameters is a hard problem easier to take a picture from

549 views • 42 slides

OpenGL Computer Graphics

OpenGL Computer Graphics. Programming with Transformations. Topics. Transformations in OpenGL Saving Current Transformation Drawing 3D Scenes with OpenGL OpenGL Functions for Modeling and Viewing. Transformations in OpenGL. CT: current transformation Simplified graphics pipeline

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Computer Graphics

Computer Graphics. Bing-Yu Chen National Taiwan University. Viewing in 3D. 3D Viewing Process Classical Viewing and Projections 3D Synthetic Camera Model Parallel Projection Perspective Projection 3D Clipping for Canonical View Volume. Clip against view volume.

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HCI 530 : Seminar (HCI)

HCI 530 : Seminar (HCI). Damian Schofield. HCI 530: Seminar (HCI). Transforms Two Dimensional Three Dimensional The Graphics Pipeline. Computer Graphics - Introduction.

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Visualization- Determining Depth From Stereo

Visualization- Determining Depth From Stereo. Saurav Basu BITS Pilani 2002. Introduction. Example of Human Vision Perception of Depth from Left and right eye images Difference in relative position of object in left and right eyes. Depth information in the 2 views??.

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Projection and Clipping

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Computer Graphics

Computer Graphics. Lecture 8 Arbitrary Viewing II: More Projection, Clipping and Mathematics of 3D Viewing. Parallel projections. Specified by a direction to the centre of projection, rather than a point. Centre of projection at infinity. Orthographic

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Viewing

Viewing. Part II (The Synthetic Camera). Brownie camera courtesy of http ://www.geh.org/fm/brownie2/htmlsrc/mE13000034_ful.html. The Camera and the Scene. What does a camera do? Takes in a 3D scene

480 views • 31 slides

History and modern practice

CIS 736 Computer Graphics Visible Surface Determination 2 of 2: Wednesday, 25 February 2004 Reading: Hardware Rendering (shader_lecture) Adapted with Permission W. H. Hsu http://www.kddresearch.org. History and modern practice. avd November 4, 2003 VSD 1/46. Pipeline Flow.

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Computer Graphics

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Computer Graphics 9: Clipping In 3D

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Assignment 2

Assignment 2. Rendering Pipeline. Outlines. Phase 1 Transformation Backface culling Projection and Wireframe output Phase 2 Shading Lighting Scan-Convert. The Data Structure. For a polygon, it should contain the following data Position of all vertices Normal of all vertices

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Viewing in 3D

Viewing in 3D. BASICS. 3D Viewing: Positioning the planes. VIEW/PROJECTION WINDOW. A rectangular window in view-plane is used to decide as to how much of the scene is caught and displayed. Edges of the window are parallel to the X?, and Y? axes.

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Computer Graphics 1

Computer Graphics 1. Computer Graphics 1. What is computer graphics? What can it be used for? What will we learn in this course?. Who am I?. A PhD student at the Centre for Image Analysis Working with microscopic images of human cells to e.g. aid a doctor to diagnose cancer.

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3D Clipping & Viewing process

3D Clipping & Viewing process. 3D Cohen-Sutherland Algorithm. Y axis. +1. y=z. Back. Clipping. Front. Plane. Clipping. z=-1. Plane. -Z. -1. 3-D Extension of 2-D Cohen-Sutherland Algorithm,. y=-z. Outcode of six bits. A bit is true (1) when the. appropriate condition is satisfied.

215 views • 6 slides