The 4^th International Conference on
3-D Digital Imaging and Modeling

October 6-10, 2003
The Banff Centre
Banff, Alberta, Canada

 

FINAL Program

(Printable version  in PDF (~500kB) )

(INSTRUCTIONS for speakers/presenters)

Monday October 6, 2003	Tuesday October 7, 2003	Wednesday October 8, 2003	Thursday October 9, 2003	Friday October 10, 2003
8:30-12:00 Morning tutorials	08:45-08:55 Opening remarks 08:55-09:35 Invited speaker: N. Magnenat-Thalmann 09:35-10:25 Geometry 1 10:55-11:45 3D sensing 1	08:30-09:10 Invited speaker: Paul Debevec 09:10-10:00 Model  construction 2 10:30-11:45 View registration 1	08:30-09:10 Invited speaker: Robert Fisher 09:10-10:00 Geometric signal processing 10:30-11:45 Human modeling and identification	08:30-9:45 Geometry 2 10:15-11:05 3D sensing 3 11:05-11:15 Conference closing
13:30-17:00 Afternoon tutorials   17:30-18:30 Nature Walk: The Hoodoos	13:20-15:00 Model  construction 1 15:30-18:00 Poster session  (with reception)	13:20-14:10 3D sensing 2 14:10-17:20 Special session: Heritage applications 17:45-18:30 Video Theatre 20:00 Banquet	13:20-15:00 Model  construction 3 15:30-17:10 View registration 2	13:30-15:30 Nature Walk: Tunnel Mountain (bring adequate footwear)

 Monday October 6, 2003

Tutorials: 

 

AM 08:30-12:00	PM 13:30-17:00
3D active sensing techniques François Blais, NRC Guy Godin, NRC	Museum and heritage applications of  3D imaging and modeling J.-Angelo Beraldin, NRC Holly Rushmeier, IBM Research John Taylor, NRC
3D modeling from images Marc Pollefeys, UNC	Fundamentals of photogrammetry Henrik Haggrén, HUT
Modeling of architectural and  archaeological sites Richard M. Levy, U. of Calgary	A coherent framework for  processing range data Pierre Boulanger, U. of Alberta

Tuesday October 7, 2003

08:55-09:35
Invited paper:

 Automatic Modeling of Animatable Virtual Humans
 Nadia Magnenat-Thalmann,  H. Seo, F. Cordier
University of Geneva
 

09:35-10:25
Oral session: Geometry 1

Chair: Marc Pollefeys

Deformable Model with Adaptive Mesh and Automated Topology Changes
 J.-O. Lachaud, B. Taton

Image-Based Object Editing
 H. Rushmeier, J. Gomes, L. Balmelli, F. Bernardini, G. Taubin
 

10:55-11:45
Oral session: 3D Sensing 1

Chair:Denis Laurendeau

Optimized Position Sensors for Flying-Spot Active Triangulation Systems
 J-A Beraldin, F. Blais, M.Rioux, J. Domey, L. Gonzo, F. De Nisi, F. Comper, D. Stoppa, M. Gottardi, A. Simoni

Accuracy of 3D Range Scanners by Measurement of the Slanted Edge Modulation Transfer Function
 Michael Goesele, Christian Fuchs, Hans-Peter Seidel
 

13:20-15:00
Oral session: Model Construction 1

Chair:Henrik Haggrén

Silhouette and Stereo Fusion for 3D Object Modeling
 Carlos Hernández Esteban, Francis Schmitt

Efficient Surface Reconstruction from Range Curves
 Dragan Tubic', Patrick Hébert, Denis Laurendeau 

Next View Planning for a Combination of Passive and Active Acquisition Techniques
 Robert Sablatnig, Srdan Tosovic, Martin Kampel

Cramer-Rao Bounds for Nonparametric Surface Reconstruction from Range Data
 Tolga Tasdizen, Ross Whitaker
 

15:30-18:00
Poster Session:

Effective Nearest Neighbor Search for Aligning and Merging Range Images
 Ryusuke Sagawa,   Tomohito Masuda,     Katsushi Ikeuchi

Active Balloon Model Based on 3D Skeleton Extraction by Competitive Learning
 Ken’ichi Morooka, Hiroyuki Takagi, Hiroshi Nagahashi

Using k-D Trees for Robust 3D Point Pattern Matching
 Baihua Li, Horst Holstein

3D Animation Of Cerebral Activity Using Both Spatial And Temporal fMRI Information
 C. Aguerre, P. Desbarats,  B. Dilharreguy, C.T.W. Moonen

3D Optical Scanning Diagnostics for Leonardo Da Vinci’s "Adorazione dei Magi" Conservation
 Gabriele Guidi, Carlo Atzeni, Sara Lazzari

Human Figure Reconstruction and Modeling from Single Image or Monocular Video Sequence
Fabio Remondino, Andreas Roditakis

Segmentation and Modeling of Approximately Rotationally Symmetric Objects in 3D Ultrasound
 Johannes Ruisz, Dieter Hönigmann, Helmut Pottmann

Automatic 3D Modeling of Palatal Plaster Casts
 Marco Andreetto, Nicola Brusco, Guido M. Cortelazzo

Colour Texture Fusion of Multiple Range Images
 Alexander Agathos, Robert B. Fisher

A Range Image Refinement Technique for Multi-view 3D Model Reconstruction
 Soon-Yong Park, Murali Subbarao

3-D Motion and Shape from Multiple Image Sequences
 Rüdiger Mecke, Bernd Michaelis

Free-Form Surface Reconstruction from Multiple Images
 Chang Shu, Gerhard Roth

Reliable and Rapidly-Converging ICP Algorithm Using Multiresolution Smoothing
 Kok-Lim Low, Anselmo Lastra

Combining Texture and Shape for Automatic Coarse Patch Registration
 Joris Vanden Wyngaerd, Luc Van Gool

Evaluating Structural Constraints for Accurate Range Image Registration
 Yonghuai Liu, Baogang Wei

Parallel Alignment of a Large Number of Range Images
 Takeshi Oishi,   Ryusuke Sagawa,  Atsushi Nakazawa,  Ryo Kurazume,   Katsushi Ikeuchi 

Adaptive Enhancement of 3D Scenes Using Hierarchical Registration of Texture-Mapped 3D Models
 Srikumar Ramalingam, Suresh K. Lodha 

3D Head Pose Estimation with Optical Flow and Depth Constraints
 Youding Zhu, Kikuo Fujimura 

Multi-Projectors for Arbitrary Surfaces without Explicit Calibration nor Reconstruction
 Jean-Philippe Tardif,  Sébastien Roy, Martin Trudeau 

Calibration of a Zooming Camera using the Normalized Image of the Absolute Conic
 Jean-Yves Guillemaut, Alberto S. Aguado,  John Illingworth
 

Wednesday October 8, 2003

08:30-09:10
Invited paper:
Image-Based Techniques for Digitizing Environments and Artifacts, 
Paul Debevec
USC Creative Technology Institute
 

09:10-10:00
Oral session: Model Construction 2

Chair:Holly Rushmeier

Exploiting Mirrors for Laser Stripe 3D Scanning
 Andrea Fasano, Marco Callieri, Paolo Cignoni, Roberto Scopigno

Recursive Model Optimization Using ICP and Free Moving 3D Data Acquisition
 François Blais, Michel Picard, Guy Godin 
 

10:30-11:45
Oral session: View Registration 1

Chair:Takeshi Masuda

Geometrically Stable Sampling for the ICP Algorithm
 Natasha Gelfand, Leslie Ikemoto, Szymon Rusinkiewicz, Marc Levoy

Enhanced, Robust Genetic Algorithms for Multiview Range Image Registration
 Luciano Silva, Olga R.P. Bellon, Kim L. Boyer

A Fast Point-to-Tangent Plane Technique for Multi-View Registration
 Soon-Yong Park, Murali Subbarao
 

13:20-14:10
Oral session: 3D Sensing 2

Chair: François Blais

The ModelCamera: A Hand-Held Device for Interactive Modeling
 Voicu Popescu, Elisha Sacks, Gleb Bahmutov

Real-time Range Scanning of Deformable Surfaces by Adaptively Coded Structured Light
 Thomas P. Koninckx, Andreas Griesser, Luc Van Gool
 

14:10-17:20
Special session: Heritage Applications of 3-D Imaging and Modeling 

Chair: J.-Angelo Beraldin

Effective 3D Modeling Of Heritage Sites
 Sabry F. El-Hakim, J.-Angelo Beraldin, Michel Picard, Antonio Vettore

Scanning and Processing 3D Objects for Web Display
 Mohamed Farouk, Ibrahim El-Rifai, Shady El-Tayar,Hisham El-Shishiny, Mohamed Hosny, Mohamed El-Rayes, Jose Gomes, Frank Giordano, Holly Rushmeier, Fausto Bernardini, Karen Magerlein

(15:20-15:50  break)

Virtual Reconstruction of Broken and Unbroken Pottery
 Martin Kampel, Robert Sablatnig 

Digital Preservation of Ancient Cuneiform Tablets Using 3D-Scanning
 Subodh Kumar, Dean Snyder, Donald Duncan, Jonathan Cohen, Jerry Cooper 

Accuracy Verification and Enhancement in 3D Modeling: Application to Donatello’s Maddalena
 Gabriele Guidi, Andrea Cioci, Carlo Atzeni, J-Angelo Beraldin

17:20-17:45
Break 

17:45-18:30 
3DIM VIDEO THEATRE

20:00
CONFERENCE BANQUET
 
 
 

Thursday October 9, 2003
 

08:30-09:10
Invited paper:

Solving Architectural Modelling Problems using Knowledge
 Robert B. Fisher
University of Edinburgh
 

09:10-10:00
Oral session: Geometric Signal Processing

Chair: Luc Van Gool

Anisotropic Diffusion of Surface Normals for Feature Preserving Surface Reconstruction
 Tolga Tasdizen, Ross Whitaker

Surface Curvature Estimation from the Signed Distance Field
 Takeshi Masuda 
 

10:30-11:45
Oral session: Human Modeling and Identification

Chair: Nadia Magnenat-Thalmann

Three-Dimensional Reconstruction of the Bony Structures Involved in the Articular Complex
  Alexandra Branzan Albu, Denis Laurendeau, Luc J. Hébert, Hélène Moffet, Christian Moisan

A Discrete Reeb Graph Approach for the Segmentation of Human Body Scans
 Yijun Xiao, Paul Siebert, Naoufel Werghi

Human Identification from Body Shape
 Afzal Godil, Patrick Grother, Sandy Ressler
 

13:20-15:00
Oral session: Model Construction 3

Chair: Marc Levoy

Automatic Model Refinement for 3D Reconstruction with Mobile Robots
 Andreas Nüchter, Hartmut Surmann,  Joachim Hertzberg

Efficient Reconstruction of Indoor Scenes with Color
 Rui Wang, David Luebke

Taking Consensus of Signed Distance Field for Complementing Unobservable Surface
 Ryusuke Sagawa,  Katsushi Ikeuchi

Registration and Fusion of Intensity and Range Data for 3D Modelling of Real World Scenes
 Paulo Dias, Vítor Sequeira, Francisco Vaz, J. G. M. Gonçalves

15:30-17:10
Oral session: View Registration 2

Chair: Patrick Hébert

A Multi-Resolution ICP with Heuristic Closest Point Search for Fast and Robust 3D Registration of Range Images
 Timothée Jost, Heinz Hügli

A Hierarchical Method for Aligning Warped Meshes
 Leslie Ikemoto, Natasha Gelfand, Marc Levoy

Approximate K-D Tree Search for Efficient ICP
 Michael Greenspan, Mike Yurick

Stable Real-Time Interaction Between Virtual Humans and Real Scenes
 L. Vacchetti, V. Lepetit, G. Papagiannakis, M. Ponder, P. Fua, D. Thalmann, N. Magnenat-Thalmann
 

Friday October 10, 2003
 

08:30-9:45
Oral session: Geometry 2

Chair: Robert Fisher

Weighted Cone-Curvature: Applications for 3D Shapes Similarity
 M. Adán, A. Adán, C. Cerrada, P. Merchán, S. Salamanca

Streaming Transmission of Point-Sampled Geometry Based on View-Dependent Level-of-Detail
 Fang Meng, Hongbin Zha

Surflet-Pair-Relation Histograms: A Statistical 3D-Shape Representation for Rapid Classification
 Eric Wahl, Ulrich Hillenbrand, Gerd Hirzinger
 

10:15-11:05
Oral session: 3D Sensing 3

Chair: Sabry El-Hakim

A Point-and-Shoot Color 3D Camera
 Askold V. Strat, Manuel M. Oliveira

Interactive Shape Acquisition Using Marker Attached Laser Projector
 Ryo Furukawa, Hiroshi Kawasaki
 

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Video Theatre
Chair: Sabry El-Hakim

Making the Virtual Real
University of Calgary, Canada

Computer Reconstruction: Temple Site at Phimai
University of Calgary, Canada

A Fast Hybrid Geomorphing LOD Scheme
National Research Council, Canada

Portals
National Research Council, Canada

The Model Camera: A Hand-Held Device for Interactive Modeling
Purdue University, USA

Autonomous Mobile Robots for 3D Digitization of Environments
Fraunhofer Institute, Germany

Instant Scene Modeler (iSM)
MD Robotics, Canada

The Parthenon
University of Southern California, USA

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Tutorials: detailed information

3D Active Sensing Techniques

 
François Blais, National Research Council of Canada
Guy Godin, National Research Council of Canada

This tutorial provides an introduction to active optical 3D sensing techniques found in the literature and in commercial products. Although the emphasis is on active triangulation and time-of-flight systems, other techniques such as optical interferometry and passive methods are discussed for comparison.  Optical, hardware, and algorithmic topics are presented.  Issues of system calibration and performance evaluation will also be covered. Basic knowledge of 3D measurement principles, Gaussian beam propagation and optical signal detection with solid-state detectors is provided so that critical aspects like image resolution and range image precision can be understood and evaluated. Techniques for combined shape and appearance modeling are also discussed from an acquisition perspective. Finally, a brief overview of a few promising research and new methods that will lead to the next generation smart 3D sensor will be introduced.

Benefits: The aim of this tutorial is to provide the attendees with tools to evaluate and better understand active 3D sensing techniques for their own applications. Those applications may include building or purchasing a 3D system and understanding the nature of the 3D images in order to apply optimal geometric processing algorithms. This tutorial should help the attendee in modeling a given sensor into a "black box", and in understanding image artifacts that can be encountered. The case studies will expose the attendee to some of the most interesting applications of active 3D sensing. These applications will in turn demonstrate that the technology is available and can be used by everyone. 

Intended audience: People who are involved in the development, evaluation and application of 3D sensing techniques in an industrial, commercial or academic context. 

François Blais is a Senior Research Officer at the National Research Council of Canada. Since 1984, he has been involved in the development of many of  the different 3D technologies at NRC, especially their range sensing systems, and their applications. He has also been acting as Director of R&D for Vitana Corp. to supervise the companies R&D efforts in 3D. Since April 1999, he returned at the NRC to continue his research.  His topics of interest cover various fields in digital and image processing, control, 3D vision systems and their applications. He has more than 90 papers and publications, and 12 patents of which several have been licensed to different Canadian industries. François Blais is a registered professional engineer of Ontario. 

Guy Godin is a senior researcher with the Visual Information Technology Group of the National Research Council of Canada. His research interests include 3D computer vision and image analysis, shape and appearance sensing and modeling, and interactive visualization. He is program co-chair for 3DIM2003.

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Museum and heritage applications of 3D imaging and modeling

J.-Angelo Beraldin, National Research Council of Canada
Holly Rushmeier, IBM TJ Watson Research Center
John Taylor, National Research Council of Canada

In recent years, sensors and algorithms for three-dimensional (3D) imaging and modeling of real objects have received significant attention, not only in the computer vision and graphics research fields from which they originate, but also increasingly as an important tool for a variety of applications. The ability to create a digital representation of the shape and appearance of an existing object is a key enabling technology in many domains. 
Three-dimensional imaging technology finds a challenging area of application in the high-resolution recording of museum objects and heritage sites. For example, 3D systems have been used for digitizing archaeological site features, ethnographic collections, paintings, sculptures and monuments as well as architectural elements on historic buildings. Once recorded, the 3D image data of a site or museum object can be used for a variety of applications including archival documentation, research, conservation, replication as well as interactive 3D virtual reality theatres and web-based virtual museums. Museum artefacts and archaeological or historical sites provide a variety of shapes, materials and environments, and impose specific requirements on the performance and use of the technology. 
The purpose of this tutorial is to present an introductory and general overview of digital 3D imaging and its relation to museum and heritage recording applications. The first part of the tutorial will discuss the fundamental aspects of the technology. Active and passive optical measurements technologies to acquire (measure) object and scenes are briefly presented and advantages and limits of each technique are summarized. The tutorial on active 3D at the same conference provides a good introduction to the topic. In the second part, we will illustrate concrete applications of this technology: IBM research, NRC and other groups worldwide have undertaken a variety of projects to demonstrate the museum and heritage applications of 3D digital imaging technology. The purpose of these projects is to assess, under realistic conditions, the technologies and methods designed in the laboratory, and to further their development. Results and lessons learned over the years through these demonstration projects will be discussed. 

Intended Audience: The target audience is that of people interested in or involved in the development, evaluation and application of 3D imaging techniques in the museum and heritage field. The attendees should leave with a fresh and un-biased approach to evaluating three-dimensional imaging systems and methodologies, and have a good grasp of the state-of-the art methods for digitizing and modeling objects and scenes, with a specific understanding of the issues that are unique to the museum and heritage field. 

Prerequisites: basic understanding of 3D measurement and possibly the tutorial on active 3D presented in the same conference.

Jean-Angelo Beraldin received his B.Eng. from the Université de Sherbrooke, Québec, Canada and M.A.Sc. from the University of Ottawa, Ontario, Canada in 1984 and 1986, respectively, both in electrical engineering. His current research interests include sensor systems engineering, signal processing hardware and software for 3D vision systems, opto-electronic aspects of range sensors as well as metrology.  J-Angelo is on many program conference committees like 3DIM and 3DPVT. He is very active in the field of Heritage and has given many tutorials throughout the world on active 3D vision and heritage applications of 3D vision.

Holly Rushmeier is a research staff member at the IBM T.J.Watson Research Center. Her research interests include data visualization,rendering algorithms,and acquisition of input data for computer graphics image synthesis. Her most recent work has been in the area of acquiring 3D models of high visual quality for cultural heritage applications, including projects in Italy and Egypt. She received a BS, MS,and PhD in mechanical engineering from Cornell University in 1977, 1986, and 1988, respectively. In 1990, she was selected as a US National Science Foundation Presidential Young Investigator. She has served as papers chair or cochair for the ACM Siggraph conference,the IEEE Visualization conference,and the Eurographics Rendering Workshop. From 1996 to 1999, she was editor in chief of ACM Transactions on Graphics.

John Taylor is an Imaging Applications Scientist at the Institute for Information Technology, National Research Council of Canada.  He has worked for over 30 years on the development of scientific applications for the analysis, examination and study of works of art. Prior to joining NRC, he worked at the Canadian Conservation Institute and the National Gallery of Canada. He holds B.S. (1969) and M.S. (1971) degrees in chemistry from Michigan Technological University and is a Fellow of the International Institute for Conservation.

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3D modeling from images

Marc Pollefeys, University of North Carolina at Chapel Hill

This tutorial describes how 3D models can be obtained from images acquired with a hand-held camera. The course will explain the different components which are required to build an automatic system to do so. The course will cover automatic feature matching, projective reconstruction, self-calibration, dense matching and 3D modeling. It will be illustrated with examples from different fields. 

Benefits: This course will enable attendees to understand how 3D models can automatically be obtained from images. 

Intended Audience:  This course is intended for computer vision and computer graphics researchers who are interested in state-of-the-art methods for obtaining 3D models from images. A basic knowledge of computer vision and 3D geometry is useful but not required. 

Marc Pollefeys is an Assistant Professor of Computer Science at the University of North Carolina at Chapel Hill. He received his M.S. and Ph.D. degrees from the K.U.Leuven in 1994 and 1999, respectively. His main area of research is computer vision, more specifically multi-view geometry, structure from motion, (self-)calibration, stereo, image-based rendering and applications. One of his main research goals is to develop flexible approaches to capture visual representations of received several prizes for his research, including the prestigious Marr prize at ICCV '98. Recently he has received an NSF career award. He is the author or co-author of more than 70 technical papers. He has organized workshops and courses at major vision and graphics conferences and has served on the program committees of major conferences such as ICCV, CVPR and ECCV. He is a regular reviewer for most of the major vision, graphics and photogrammetry journals.

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Fundamentals of photogrammetry

Henrik Haggrén, Helsinki University of Technology

The tutorial provides insight to modern photogrammetry. A special consideration is given for digital imaging technology. The aim is to reveal and excercise the theory of photogrammetry and describe its geometrical principles with regard to stereoscopy. The mathematical basis of photogrammetry will be presented as far as it becomes relevant for 3D image processing. The functional procedure of photogrammetry for 3D scene and object reconstruction is described as modules of image acquisition, preprocessing for georeference, stereo restitution, and 3D modelling. Regarding the applications, both photographic documentation and 3D visualization are considered. The practice and relevant technology is presented in review of historical and current examples of heritage applications. 

Benefits: The enthusiasm for this crossdisciplinary tutorial grows up from the fast development of digital imaging technology. Not only has the resolution of the single image sensors grown up to x-megabytes, but also the number of active image users has reached the megalevel due to the the cameras and images being essential parts of mobile media. And these are two examples only, where images are applicable for photogrammetric processing - both in 3D data acquisition and in 3D information visualization! 

Intended audience: Researchers and students in 3D imaging and modeling; people who are involved in the development, evaluation and application of imager technology in heritage documentation. 

Henrik Haggrén is professor in photogrammetry at Helsinki University of Technology. His primary research interest is in developing photogrammetry as a medium for creative and innovative imaging applications. Formerly he was based at VTT, Technical Research Centre of Finland developing close-range and industrial applications of photogrammetry. Since 1988 he has joined the University. In field of heritage he contributes to photogrammetric documentation of FJHP, Finnish Jabal Haroun Project and its  archaeological excavations in Jordan since 1997. 

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A coherent framework for processing range data

Pierre Boulanger, University of Alberta

One of the goals of this tutorial is to describe in a coherent framework how to represent and process range data. I will demonstrate that range data cannot be processed without taking into account their geometric nature. The approach presented here is based on differential geometry and Bayesian statistical analysis. Using these tools, a new intrinsic filter is defined and used to compute at multi-scale geometric discontinuities and to optimally segment range data using the sign of Gaussian and mean curvature. The final result of this process is a set of significant features and symbolic representation corresponding to a more compact version of the signal that higher level processing modules can use to reason about a particular scene.  Recent experimental results for each processing stage will be presented.

Benefits: This course will enable the attendee to grasp the basic concepts allowing the extraction of geometric primitives from 3D data. Intended audience 

Intended audience: This tutorial is primarily intended for practitioners of computer vision who are interested in state-of-the-art range image processing and understanding. The tutorial requires some basic knowledge of computer vision, differential geometry, and statistics, but these are not prerequisite. 

Pierre Boulanger graduated from Laval University in Engineering Physics, received a Masters degree in Physics from the same university and a Ph.D. in Electrical Engineering from the University of Montreal. He worked for 18 years at the National Research Council of Canada as a  research officer where his primary research interests were in 3D computer vision, rapid product development, and virtualized reality systems. He is now an  associate professor at the Department of Computing Science of the University of Alberta.

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Modeling of architectural and archaeological sites

Richard M. Levy, University of Calgary

In archaeological and architectural research, computer models have been used for decades as tools in the preservation and analysis of physical data.  These modeling efforts have assisted archaeologists and museum curators in the reconstruction of sites in non-evasive environments.  Interpretations can be tested without endangering sensitive sites or subjecting individual architectural or sculptural elements to potential wear from excessive manipulation during the reconstruction process.  For the educator and museum director, a wide range of media products including video, QTVR animation, and virtual worlds can be created for both the public and research community. Using a case study approach, various techniques of building and displaying computer reconstructions will be examined. In each example, goals, resource constraints and special needs of the client will serve to highlight a variety of approaches that can be used in computer modeling.  Special attention will be given to the role of traditional data sources and more recent technology such as laser scanning, a source of data for the reconstruction of historic monuments. Finally, some recommendations will be offered on how to enhance the documentation and creation of computer models for both education and research. 

Intended audience:  This tutorial is intended for those interested in learning more about the use of computer visualization and 3D laser scanning as tools in the preservation and management of architectural and archaeological sites. 

Richard Levy is a Professor of Planning and Urban Design at The University of Calgary.  He has a BSCE from Tufts University, an M.Arch and Ph.D. in Architecture from the University of California, Berkeley.  He currently serves as the Planning Coordinator (Chairman) for the Planning Program. Since 1996, he has also served as Director of Computing for the Faculty of EVDS.  Dr. Levy is a founding member of the Virtual Reality Lab. He has directed projects with Archaeology, Geomatics Engineering, Industrial Design and Kinesiology  Using the advanced capabilities provided by MACI, and support from the Canadian International Development Agency (CIDA) Dr. Levy has built a computer reconstruction of the temple site at Phimai, Thailand. The temple complex that was built during the 11th and 12th centuries is one of several UN World Heritage sites in Thailand.