Steve Seitz - PowerPoint PPT Presentation

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Steve Seitz

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Title: Voxel-Based 3D Reconstruction Author: Steve Seitz Last modified by: Steve Seitz Created Date: 4/21/1999 5:01:05 AM Document presentation format – PowerPoint PPT presentation

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Title: Steve Seitz


1
Introduction
SIGGRAPH 2000 Course on3D Photography
http//www.cs.cmu.edu/seitz/course/3DPhoto.html
  • Steve Seitz
  • Carnegie Mellon University
  • Brian Curless
  • University of Washington

2
3D Photography
3
3D Photography from 2D Photography
Objects Radiate Visible Light
  • This Pattern of Light Depends On
  • Scene illumination
  • Surface geometry
  • Surface reflectance

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

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

840am Sensing for Vision and Graphics
7
Speakers (Morning Session)
  • Steven Seitz Carnegie Mellon University / U.
    Washington

930am Overview of Passive Vision 1030am From
Images to Voxels
8
Speakers (Morning Session)
  • Paul Debevec U.S.C, Institute for Creative
    Technologies

1115am Facade Modeling Architectural Scenes
9
Speakers (Afternoon Session)
  • Brian Curless University of Washington

130pm Overview of Active Vision 315pm Shape
and Appearance from Images and
Range Data
10
Speakers (Afternoon Session)
  • Jean-Yves Bouguet Intel Corporation

215pm Desktop 3D Photography
11
Speakers (Afternoon Session)
  • Marc Levoy Stanford University

355pm The Digital Michelangelo Project
12
Course Objectives
  • What Not to Expect
  • Build-your-own 3D camera instructions
  • What to Expect
  • Practical understanding of issues
  • Overview of major approaches
  • Latest research results
  • Current capabilities, limitations

13
Course Noteshttp//www.cs.cmu.edu/seitz/course/3
DPhoto.html
  • Slides
  • Acrobat versions of speakers slides
  • Abstracts
  • Digital Michelangelo Project
  • Passive vision intro
  • Modeling architecture from photographs
  • Models, Movies, Online Presentations
  • VRML models, HTML
  • Quicktime movies
  • Papers
  • Electronic versions of relevant publications
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