Workshop on

3D Scanning: From Physical Objects to Computer Models

Partially supported by Interval Research, Cyberware, and Microsoft


When:December 2-4, 1996
Where:Institute for Mathematics and its Applications (IMA) and Geometry Center, University of Minnesota, Minneapolis
Contact:Werner Stuetzle, wxs@stat.washington.edu,
206-543-6774 phone, 206-685-7419 fax



Summary - Speakers - Short Presentation Speakers - Program Schedule - Accomodations - Mailing Lists - Registration List

Organizing committee:

Paul BeslAlias / Wavefrontpbesl@aw.sgi.com
Tony DeRosePixarderose@pixar.com
Tom DuchampUniversity of Washingtonduchamp@math.washington.edu
Marc LevoyStanfordlevoy@cs.stanford.edu
Werner StuetzleUniversity of Washingtonwxs@stat.washington.edu
Richard SzeliskiMicrosoftszeliski@microsoft.com


Summary:

The goal of 3D scanning is the inverse of computer aided manufacturing: given a physical object, such as a clay model of a car, a turbine blade, a chair, or a house, create an electronic representation of the object, capturing its shape, color, reflectance, and other visual properties.

3D scanning is similar in principle to a number of other important technologies (like photocopying and video) that quickly, accurately, and cheaply record useful aspects of physical reality. These technologies have had an enormous impact, primarily because electronic representations can be used in ways the original physical objects cannot. For example, they can be stored in, searched for, and retrieved from databases, transmitted electronically over long distances, viewed on CRTs, used in computer simulations, manipulated and edited in software, and used as templates for making electronic or physical copies.

3D scanning is roughly in the same state as photocopying before the invention of xerography, or home movies before the invention of compact video cameras. By analogy, it is reasonable to expect that the development of the technology will open up many new applications, in areas such as: reverse engineering; industrial design; repair, reproduction, and improvement of machinery; medical diagnostics, analysis and simulation; 3D photography; and building rich virtual environments.

Development of 3D scanning requires contributions from electrical and mechanical engineering (sensor development), computer science (geometric modeling), statistics (stochastic aspects of shape estimation) and mathematics (analysis of estimation functionals, geometry, topology).


Speakers:

Paul Besl     Alias/Wavefront     pbesl@aw.sgi.com:
Continuing Obstacles to Acceptance of Optical Coordinate Measurement

Tony DeRose     Pixar     derose@pixar.com
Digitizing and Modeling Animatable Objects

Herbert Edelsbrunner     University of Illinois     edels@cs.uiuc.edu
Surface and Volume Reconstruction

Hugues Hoppe     Microsoft     hhoppe@microsoft.com
Automatic reconstruction of B-spline surfaces of arbitrary topological type

Katsu Ikeuchi     CMU     ki@cs.cmu.edu
Generating Virtual Worlds from Real Worlds using Computer Vision

Marc Levoy     Stanford     levoy@cs.stanford.edu
Building computer models models from multiple range images

Bill Lorensen     GE     lorensen@crd.ge.com
Digitizing Objects With XRAY Computed Tomography

Fritz Prinz     Stanford     fbp@cdr.stanford.edu
Building Parts You Could Not Build Before or Everything You Ever Wanted to Know About SDM

Marc Rioux     NRC     rioux@iit.nrc.ca
Recent Developments in 3D Laser Scanning

Carlo Sequin     UC Berkeley     sequin@cs.unc.edu
Next-generation CAD tools

James Sethian     UC Berkeley     sethian@math.berkeley.edu
Image Denoising, Edge Detection, and Shape Recovery

Richard Szeliski     Microsoft     szeliski@microsoft.com
Recovering Geometric and Photometric Models from Multiple Images

Seth Teller     MIT     seth@lcs.mit.edu
New 3D Reconstruction Algorithms for Pose-Instrumented Cameras

Greg Ward     LBL     gjward@lbl.gov
Measuring Reflectance -- Even If You Can Pronounce Goniospectroradiometry -- Can You Do It?

Jon Webb     CMU and Visual Interface, Inc.     webb@visint.com
The Advent of Shape Photography (TM)

Short Presentation Speakers:

Peter Rander and Takeo Kanade
Recovery of Dynamic Scene Structure from Multiple Image Sequences

Adrian Hilton and Stephen Crampton
ModelMaker - Reality Capture System

Gerhard Roth
An Efficient Volumetric Method for Building Closed Triangular Meshes from 3-D Image and Point Data

Paul Debevec
Modeling and Rendering Architecture from Photographs

Richard Pito
A General Solution to the Next Best View Problem

Chandrajit Bajaj and Daniel Schikore
Reconstruction of Scalar Field Topology from 3D Scans

Roy P. Pargas
Automatic Measurement Extraction from a Three-Dimensional Fullbody Scan

Brian D. Corner and Steven Paquette
3D Digitizing for Human Engineering and Apparel Design: Perspectives from the U.S. Army

Tentative Program

Sunday 12/18:00 p.m.Reception, Radisson Hotel
Monday 12/28:00 a.m.Coffee & Registration
8:30Welcome (Friedman, Gulliver, Stuetzle)
8:45Richard Szeliski: Recovering Geometric and Photometric Models from Multiple Images
9:45Jon Webb: The Advent of Shape Photography (TM)
10:45Coffee Break
11:15Seth Teller: New 3D Reconstruction Algorithms for Pose-Instrumented Cameras
1:30 p.m.Paul Besl: Continuing Obstacles to Acceptance of Optical Coordinate Measurement
2:30Fritz Prinz: Building Parts You Could Not Build Before or Everything You Ever Wanted to Know About SDM
3:30Tea (& More!)
4:00Carlo Sequin (organizer): Does 3D Scanning have a Killer App? (Discussion)
Tuesday 12/38:00 a.m.Coffee
8:30Herbert Edelsbrunner: Surface and Volume Reconstruction
9:30James Sethian: Image Denoising, Edge Detection, and Shape Recovery
10:30Coffee Break
11:00Hugues Hoppe: Automatic reconstruction of B-spline surfaces of arbitrary topological type
1:30 p.m.Demos, short presentations
3:30Tony DeRose: Digitizing and Modeling Animatable Objects
4:30Carlo Sequin: Next-generation CAD tools
7:00Workshop Dinner
Wednesday 12/48:00 a.m.Coffee
8:30Bill Lorensen: Digitizing Objects With XRAY Computed Tomography
9:30Marc Levoy: Building computer models models from multiple range images
10:30Coffee Break
11:00Marc Rioux: Recent Developments in 3D Laser Scanning
1:30 p.m.Katsu Ikeuchi: Generating Virtual Worlds from Real Worlds using Computer Vision
2:30Coffee Break
3:00Greg Ward: Measuring Reflectance -- Even If You Can Pronounce Goniospectroradiometry -- Can You Do It
4:00Wrapup


Accomodations:

We will be staying in the Radisson, within easy walking distance of the IMA. The IMA gets a good rate: $51/night. All reservations have to be made through Amy Cavanaugh (IMA): (612) 624-2021, amy@ima.umn.edu. Participants are responsible for arranging their own reservation through Amy.

Radisson Hotel Metrodome
615 Washington Ave SE
(612) 379-8888
From the airport, take Airport Express. It leaves from Ground Transport, one level below Baggage Claim.


Organizers mailing list

alias scanning-workshop-organizers pbesl@aw.sgi.com, szeliski@microsoft.com, golub@sccm.stanford.edu, levoy@cs.stanford.edu, derose@pixar.com, wxs@stat.washington.edu, duchamp@math.washington.edu

Speakers mailing list

alias scanning-workshop-speakers fbp@cdr.stanford.edu, gjward@lbl.gov, lorensen@crd.ge.com, sethian@math.berkeley.edu, sequin@cs.unc.edu, edels@cs.uiuc.edu, pbesl@aw.sgi.com, derose@pixar.com, szeliski@microsoft.com, seth@lcs.mit.edu, hhoppe@microsoft.com, webb@cs.cmu.edu, rioux@iit.nrc.ca, ki@cs.cmu.edu, levoy@cs.stanford.edu

Participants mailing list (incomplete)

alias pbesl@aw.sgi.com, derose@pixar.com, edels@cs.uiuc.edu, hhoppe@microsoft.com, ki@cs.cmu.edu, levoy@cs.stanford.edu, lorensen@crd.ge.com, fbp@cdr.stanford.edu, rioux@iit.nrc.ca, sequin@cs.unc.edu, sethian@math.berkeley.edu, szeliski@microsoft.com, seth@lcs.mit.edu, gjward@lbl.gov, webb@visint.com, david@ghiberti.cyberware.com, bajaj@cs.purdue.edu, certain@manifoldgraphics.com, bcorner@natick-amed02.army.mil, sjc@3dscanners.com, curless@Candor.stanford.edu, debevec@cs.berkeley.edu, duchamp@math.washington.edu, me@icem.edu, eck@mathematik.th-darmstadt.de, pfu@ncsa.uiuc.edu, Gazzu001@maroon.tc.umn.edu, gessel@interval.com, godin@iit.nrc.ca, golub@sccm.stanford.edu, jg@inlink.com, ees2ah@ee.surrey.ac.uk, a.hilton@surrey.ac.uk, jhurley@tc2.tc2.com, venkat@guru.stanford.edu, lin@cs.unc.edu, lodha@cse.ucsc.edu, malik@cs.berkeley.edu, manocha@cs.unc.edu, sasha@princeton.edu, lin@cs.unc.edu, pargas@cs.clemson.edu, cpiatko@nist.gov, pito@grip.cis.upenn.edu, kapu@cs.washington.edu, rander@cs.cmu.edu, roth@iit.nrc.ca, holly@watson.ibm.com, ysato@cs.cmu.edu, ps@cs.caltech.edu, kds@iware.com, pierre@interval.com, wxs@stat.washington.edu, taubin@watson.ibm.com, jwarren@cs.rice.edu, kjw@autodesk.com, rwulpern@tc2.tc2.com

Pages designed by BJW <brandon@stat.washington.edu>
Tue Nov 26 12:17:10 PST 1996