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Introduction Steve Seitz Carnegie Mellon University Brian Curless University of Washington SIGGRAPH 2000 Course on 3D Photography

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Presentation on theme: "Introduction Steve Seitz Carnegie Mellon University Brian Curless University of Washington SIGGRAPH 2000 Course on 3D Photography"— Presentation transcript:

1 Introduction Steve Seitz Carnegie Mellon University Brian Curless University of Washington SIGGRAPH 2000 Course on 3D Photography http://www.cs.cmu.edu/~seitz/course/3DPhoto.html

2 3D Photography 2D Photography 2D Photography Light Light Geometry Reflectance 3D Photography 3D Photography Light

3 Objects Radiate Visible Light 3D Photography from 2D Photography This Pattern of Light Depends On Scene illuminationScene illumination Surface geometrySurface geometry Surface reflectanceSurface reflectance Cameras Capture This Light Enables analysis of scene structureEnables analysis of scene structure

4 Objective Infer structure from radiated lightInfer structure from radiated light Two Styles Passive sensing of light already in environmentPassive sensing of light already in environment >widely applicable >cheap >brittle, less accurate Active control of illuminationActive control of illumination >not always viable >expensive but getting cheaper >extremely accurate Passive vs. Active 3D Photography MorningSessionAfternoonSession

5 Speakers Jean-Yves Bouguet, Intel Corporation Brian Curless, University of Washington Paul Debevec, University of Southern California Marc Levoy, Stanford University Shree Nayar, Columbia University Steven Seitz, Carnegie Mellon University

6 Speakers (Morning Session) Shree Nayar Columbia University 8:40am Sensing for Vision and Graphics

7 Speakers (Morning Session) Steven Seitz Carnegie Mellon University / U. Washington 9:30am Overview of Passive Vision 10:30am From Images to Voxels

8 Speakers (Morning Session) Paul Debevec U.S.C, Institute for Creative Technologies 11:15am Facade: Modeling Architectural Scenes

9 Speakers (Afternoon Session) Brian Curless University of Washington 1:30pm Overview of Active Vision 3:15pm Shape and Appearance from Images and Range Data

10 Speakers (Afternoon Session) Jean-Yves Bouguet Intel Corporation 2:15pm Desktop 3D Photography

11 Speakers (Afternoon Session) Marc Levoy Stanford University 3:55pm The Digital Michelangelo Project

12 What Not to Expect “Build-your-own” 3D camera instructions“Build-your-own” 3D camera instructions What to Expect Practical understanding of issuesPractical understanding of issues Overview of major approachesOverview of major approaches Latest research resultsLatest research results Current capabilities, limitationsCurrent capabilities, limitations Course Objectives

13 Course Notes http://www.cs.cmu.edu/~seitz/course/3DPhoto.html Slides Acrobat versions of speakers’ slidesAcrobat versions of speakers’ slidesAbstracts Digital Michelangelo ProjectDigital Michelangelo Project Passive vision introPassive vision intro Modeling architecture from photographsModeling architecture from photographs Models, Movies, Online Presentations VRML models, HTMLVRML models, HTML Quicktime moviesQuicktime moviesPapers Electronic versions of relevant publicationsElectronic versions of relevant publications


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