- NVIDIA GRID
- NVIDIA VCA
- 3D Vision
- About NVIDIA
I joined the Division of Engineering at Brown University in the Fall of 2003 after thirteen years at the IBM T. J. Watson Research Center, where I was a Research Staff Member. At IBM Research I belonged to the Exploratory Computer Vision group for five years, and then I managed the Visual and Geometric Computing group for the next five years. During the 2000-2001 academic year I was on sabbatical at the California Institute of Technology as Visiting Professor of Electrical Engineering. Back at IBM in 2001, I joined the Visual Technologies department. As a final assignment I lead a team effort within the Pervasive Computing Solutions group to design and build miniature smart cameras for real-time audio/visual signal processing applications.
I earned a Ph.D. degree in Electrical Engineering from Brown University, and a Licenciado en Ciencias Matemáticas degree from the University of Buenos Aires, Argentina. I was named IEEE Fellow for my contributions to the development of three-dimensional geometry compression technology and multimedia standards.
My main research interests fall into the following disciplines: Applied Computational Geometry, Computer Graphics, Geometric Modeling, 3D Photography, and Computer Vision. For more than ten year my main line of research has been related to the development of efficient, simple, and mathematically sound algorithms to operate on 3D objects represented as polygonal meshes, with an emphasis on technologies to enable the use of 3D models for Web-based applications. I made significant theoretical and practical contributions in several areas, such as: 3D capturing and surface reconstruction, modeling, compression, progressive transmission, signal processing, and display of polygonal meshes. The 3D geometry compression technology that I developed with my group at IBM is now part of the MPEG-4 standard, and integral part of IBM products. More recently, I have been interested in smart cameras, embedded systems, visual sensornetworks, real-time distributed audio/visual signal processing algorithms, and applications
For more information on Gabriel’s research: http://mesh.brown.edu/taubin/