Brian Curless (co-organizer)
Assistant Professor
Dept. of Computer Science & Engineering
University of Washington
Sieg Hall, Box 352350
Seattle, WA 98195-2350
Tel: (206) 685-3796
Fax: (206) 543-2969
Email: curless@cs.washington.edu
Web:
Brian Curless is an assistant professor of Computer Science and Engineering at the University of Washington. He received a B.S. in Electrical Engineering from the University of Texas at Austin in 1988 and M.S. and Ph.D. degrees in Electrical Engineering from Stanford University in 1991 and 1997, respectively. After the B.S. degree, Curless developed and implemented high speed, parallel, digital signal processing algorithms at SRI International. While earning the Ph.D., he consulted for Silicon Graphics and built the prototype for SGI's Annotator product, a system for hyper-media annotation of 3D databases. Curless's recent research has focused on acquiring and building complex geometric models using structured light scanning systems. In the vision literature, he has published results on fundamentally better methods for optical triangulation, and at SIGGRAPH, he published a new method for combining range images that led to the first "3D fax" of a geometrically complex object. Curless currently sits on the Technical Advisory Board for Paraform, Inc., a company that is commercializing Stanford-developed technology for building CAD-ready models from range data and polygonal meshes. In the winter of 1999, Curless worked with Marc Levoy on the Digital Michelangelo Project in Florence where they captured the geometry and appearance of a number of Michelangelo's statues. His teaching experience includes both graduate and undergraduate graphics courses, including courses related to 3D photography taught at both Stanford, the University of Washington, CVPR '99, and SIGGRAPH '99. Curless received a university-wide Outstanding Teaching Award from Stanford University in 1992 and an NSF CAREER award at the University of Washington in 1999.
Steven Seitz (co-organizer)
Assistant Professor
The Robotics Institute, Smith Hall
Carnegie Mellon University
5000 Forbes Ave.
Pittsburgh, PA 15213
Tel: (412) 268-6795
Fax: (412) 268-5669
Email: seitz@cs.cmu.edu
Web:
Steven Seitz is an Assistant Professor of Robotics and Computer Science at Carnegie Mellon University, where he conducts research in image-based rendering, graphics, and computer vision. Before joining the Robotics Institute in August 1998, he spent a year visiting the Vision Technology Group at Microsoft Research, and a previous summer in the Advanced Technology Group at Apple Computer. He received his B.A. in computer science and mathematics at the University of California, Berkeley in 1991 and his Ph.D. in computer sciences at the University of Wisconsin, Madison in 1997. His current research focuses on the problem of acquiring and manipulating visual representations of real environments using semi- and fully-automated techniques. This effort has led to the development of "View Morphing" techniques for interpolating different images of a scene and voxel-based algorithms for computing photorealistic scene reconstructions. His work in these areas has appeared at SIGGRAPH and in international computer vision conferences and journals, and he co-organized courses on 3D Photography taught at CVPR '99 and SIGGRAPH 99. Seitz was awarded the 1999 David Marr Prize in Computational Vision for his co-authored paper on "Space Carving" at ICCV 99, and an NSF CAREER award in 2000. He will be an Assistant Professor of Computer Science at the University of Washington beginning August 2000.
Jean-Yves Bouguet
Intel Corporation - SC12-303
Microprocessor Research Labs
2200 Mission College Blvd.
Santa Clara, CA 95052
Email: jean-yves.bouguet@intel.com
Tel: (408) 765 3891
Web:
Jean-Yves Bouguet is a researcher at Intel Corporation in the Microprocessor Research Labs. He received his diplome d'ingenieur from the Ecole Superieure d'ingenieurs en Electrotechnique et Electronique (ESIEE) in 1994 and the M.S. and Ph.D. degrees in Electrical Engineering from the California Institute of Technology (Caltech) in 1994 and 1999, respectively. His research interests cover passive and active techniques for three-dimensional scene modeling. He has developed a simple and inexpensive method for scanning objects using shadows. This work was first presented at ICCV'98 and a patent is pending on that invention. He also collaborated with Jim Arvo, Peter Schroder and Pietro Perona in teaching a class on 3D photography from 1996 to 1998 at Caltech. During his Ph.D. studies, Jean-Yves has also been working in collaboration with Larry Matthies at JPL on the development of passive visual techniques for three dimensional autonomous navigation targeted towards comet modeling and landing.
Paul Debevec
Research Scientist
University of California at Berkeley
387 Soda Hall #1776
Computer Science Division, UC Berkeley
Berkeley, CA 94720-1776
Tel: (510) 642-9940
Fax: (510) 642-5775
Email: debevec@cs.berkeley.edu
Web:
Paul Debevec earned degrees in Math and Computer Engineering at the University of Michigan in 1992 and completed his Ph.D. at the University of California at Berkeley in 1996, where he is now a research scientist. Debevec has worked on a variety of image-based modeling and rendering projects, beginning in 1991 in deriving a 3D model of a Chevette from photographs for an animation project. Debevec has collaborated on projects at Interval Research Corporation in Palo Alto that used a variety of image-based techniques for interactive applications; the "Immersion '94" project done with Michael Naimark and John Woodfill developed an image-based walkthrough of the Banff national forest and his art installation "Rouen Revisited" done with Golan Levin showed at the SIGGRAPH 96 art show. His Ph.D. thesis under Jitendra Malik in collaboration with C.J. Taylor presented an interactive method of modeling architectural scenes from sparse sets of photographs and for rendering these scenes realistically. Debevec has directed several computer animations using image-based modeling, rendering, and lighting techniques including "The Campanile Movie", "Rendering with Natural Light" and "Fiat Lux" shown in the SIGGRAPH Electronic Theater. With Steven Gortler, Debevec organized the course "Image-Based Modeling and Rendering" at SIGGRAPH 98.
Marc Levoy
Associate Professor
Stanford University
Gates Computer Science Building
Room 366, Wing 3B
Stanford University
Stanford, CA 94305
Tel: (650) 725-4089
Fax: (650) 723-0033
Email: levoy@cs.stanford.edu
Web:
Marc Levoy is an associate professor of Computer Science and Electrical Engineering at Stanford University. He received a B. Architecture in 1976 from Cornell University, an M.S. in 1978 from Cornell University, and a Ph.D. in Computer Science in 1989 from the University of North Carolina at Chapel Hill. Levoy's early research centered on computer-assisted cartoon animation, leading to development of a computer animation system for Hanna-Barbera Productions. His recent publications are in the areas of volume visualization, rendering algorithms, computer vision, geometric modeling, and user interfaces for imaging and visualization. His current research interests include digitizing the shape and appearance of physical objects using multiple sensing technologies, the creation, representation, and rendering of complex geometric models, image-based modeling and rendering, and applications of computer graphics in art history, preservation, restoration, and archeology. Levoy received the NSF Presidential Young Investigator Award in 1991 and the SIGGRAPH Computer Graphics Achievement Award in 1996 for his work in volume rendering.
Shree K. Nayar
Professor
Department of Computer Science
Columbia University
500 West, 120 Street
New York, NY 10027
Tel: (212) 939-7092
Fax: (212) 939-7172
Email: nayar@cs.columabia.edu
Web:
Shree K. Nayar is a Professor at the Department of Computer Science, Columbia University. He received his PhD degree in Electrical and Computer Engineering from the Robotics Institute at Carnegie Mellon University in 1990. His primary research interests are in computational vision and robotics with emphasis on physical models for early visual processing, sensors and algorithms for shape recovery, learning and recognition of visual patterns, and vision for graphics. Dr. Nayar has authored and coauthored papers that have received the David Marr Prize at the 1995 International Conference on Computer Vision (ICCV'95) held in Boston, Siemens Outstanding Paper Award at the 1994 IEEE Computer Vision and Pattern Recognition Conference (CVPR'94) held in Seattle, 1994 Annual Pattern Recognition Award from the Pattern Recognition Society, Best Industry Related Paper Award at the 1994 International Conference on Pattern Recognition (ICPR'94) held in Jerusalem, and the David Marr Prize at the 1990 International Conference on Computer Vision (ICCV'90) held in Osaka. He holds several U.S. and international patents for inventions related to computer vision and robotics. Dr. Nayar was the recipient of the David and Lucile Packard Fellowship for Science and Engineering in 1992 and the National Young Investigator Award from the National Science Foundation in 1993.