'3d point' presentation slideshows

CS 558 Computer Vision

CS 558 Computer Vision. Lecture VIII: Single View and Epipolar Geometry. Slide adapted from S. Lazebnik. Outline. Single view geometry Epiploar geometry. Single-view geometry. Odilon Redon, Cyclops, 1914. X?. X?. X?. Our goal: Recovery of 3D structure.

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3D Object Representations

3D Object Representations. 2012, Fall. Introduction. What is CG? Imaging : Representing 2D images Modeling : Representing 3D objects Rendering : Constructing 2D images from 3D objects Animation : Simulating changes over time. Course Syllabus . Image Processing Modeling Rendering

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Single-view 3D Reconstruction

10/18/12. Single-view 3D Reconstruction. Computational Photography Derek Hoiem, University of Illinois. Some slides from Alyosha Efros, Steve Seitz. Take-home question.

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Global Alignment and Structure from Motion

Global Alignment and Structure from Motion. Computer Vision CSE455, Winter 2008 Noah Snavely. Readings. Snavely, Seitz, Szeliski , Photo Tourism: Exploring Photo Collections in 3D . SIGGRAPH 2006 . http://phototour.cs.washington.edu/Photo_Tourism.pdf Supplementary reading:

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Structure from motion

Structure from motion. Structure from motion. Given a set of corresponding points in two or more images, compute the camera parameters and the 3D point coordinates. ?. ?. Camera 1. ?. Camera 3. ?. Camera 2. R 1 ,t 1. R 3 ,t 3. R 2 ,t 2. Slide credit: Noah Snavely. X j. x 1 j.

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3D Sensing and Reconstruction Readings: Ch 12: 12.5-6, Ch 13: 13.1-3, 13.9.4

3D Sensing and Reconstruction Readings: Ch 12: 12.5-6, Ch 13: 13.1-3, 13.9.4. Perspective Geometry Camera Model Stereo Triangulation 3D Reconstruction by Space Carving. 3D Shape from X means getting 3D coordinates from different methods. shading silhouette texture stereo

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Assignment 2

Assignment 2. (due by Wednesday 19/03/03). Compute F automatically from image pair. (putative matches, 8-point, 7-point, iterative, RANSAC, guided matching). Rectification and structure computation class 15. Multiple View Geometry Comp 290-089 Marc Pollefeys.

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3D Sensing

3D Shape from X Perspective Geometry Camera Model Camera Calibration General Stereo Triangulation 3D Reconstruction. 3D Sensing. 3D Shape from X. shading silhouette texture stereo light striping motion. mainly research. used in practice. Structured Light. light stripe.

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Introduction to 3D Vision

Introduction to 3D Vision. How do we obtain 3D image data? What can we do with it?. What can you determine about 1. the sizes of objects 2. the distances of objects from the camera?. What knowledge do you use to analyze this image?. What objects are shown in this image?

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Introduction to Computer Graphics

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Structure Computation Scene Planes and Homographies

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Content

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Computer Vision: Summary and Discussion

05/03/2011. Computer Vision: Summary and Discussion. Computer Vision CS 543 / ECE 549 University of Illinois Derek Hoiem. Announcements. Today is last day of regular class ? Poster session next Tuesday Reports due by Wed at noon Derek and Ian out of town Wed afternoon through Friday

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Estimating 2-view relationships

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Terrain Rendering

Terrain Rendering. New Concepts. Loading geometry from file Camera animation Advanced lighting and materials Texture mapping Display lists. Loading geometry from file. Motivations: Built-in geometry is limited (spheres, teapots, cubes, etc)

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Correcting Projector Distortions on Planar Screens via Homography

Correcting Projector Distortions on Planar Screens via Homography. Daniel Hirt. Projector Devices Today. More affordable Smaller Some are even low-cost and compact. A Common Setup of a Projector Device. Mounted on ceiling. Another Common Setup. Placed on table.

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Computer Vision

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Interactive Fiction

Interactive Fiction. CIS 487/587 Bruce R. Maxim UM-Dearborn. Story Line. Most games have one: Might be simple back ground to enhance the game Might be an entire script to create the interactive flow of the game Arcade games keep the story simple

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CSCI480/582 Lecture 32 Chap 6.1 3D Reconstruction Using Image Sequence Apr, 15, 2009

CSCI480/582 Lecture 32 Chap 6.1 3D Reconstruction Using Image Sequence Apr, 15, 2009. Outline. The 2D-3D problem A perfect stereo vision condition The critical issues in real applications Camera calibration Finding correspondence between images. The 2D-3D Problem.

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