Hall of Visitors : 2004

Ricardo Motta Afiliation : Pixim Digital Pixel System Address: 915 Linda Vista Ave., Mountain View, CA 94043 Phone: 650-934-0550 Fax: 650-934-0560 E-mail: ricardo@pixim.com Research area : Digital Imaging Period of visit : February 2004

Ricardo Motta is the Chief Technology Officer & Vice President of Imaging Systems. A native of Brazil, Mr. Motta was exposed to film and imaging technologies at an early age. His father is a graduate of the IDHEC film school in Paris and for many years was a film critic at the Cannes Film Festival. As a child, Mr. Motta built his own enlarger from a slide projector and sold pictures of action figures to his friends. Always chasing a camera, he got himself hired in a number of film and photo productions while still a teenager.
After a year at engineering school in Brazil, Mr. Motta left to work for three years as a photographer, camera assistant and a post-production supervisor in the film industry. He later traveled to upstate New York to study photographic and imaging sciences. Mr. Motta has bachelor's and master's degrees in imaging science from the Rochester Institute of Technology. Elements of Mr. Motta's thesis on computer color generation have become the basis for a number of industry standards. In 1998, he was recognized as a Distinguished Alumnus by RIT College of Science.
Before joining Pixim, Mr. Motta spent 12 years with Hewlett-Packard, where he rose to the position of chief imaging architect. As HP's most senior imaging scientist, Mr. Motta helped launch the company's line of phenomenally successful color printers, copiers and cameras. Mr. Motta also led the company's Digital Imaging Architecture Team and spearheaded early research into digital photography. These efforts resulted in the development of numerous technical standards, including sRGB, which have since been adopted by the imaging industry.
Today, Mr. Motta also serves on the board of advisors of the Munsell Color Science Lab at RIT. He also is vice president of IS&T, The Society for Imaging Science and Technology.

Rodrigo Toledo Afiliation : Laboratoire lorrain de recherche en informatique et ses applications Address: Campus Scientifique - BP 239, 54506 VANDOEUVRE-les-NANCY Phone: +33 3 83 59 30 00 Fax: +33 3 83 27 83 19 E-mail: toledo@loria.fr Research area : Period of visit : May 2004

Rodrigo Toledo is a PhD candidate at INRIA, France. His current work involves visibility problems in graphics hardware. He is a member of Project Isa - Models, algorithms and geometry for computer graphics and vision - at Loria.

Anselmo Lastra Afiliation : The University of North Carolina at Chapel Hill Department of Computer Science Address: Sitterson Hall, CB #3175, University of North Carolina, Chapel Hill, NC 27599-3175 Phone: (919) 962-1958 Fax: (919) 962-1799 E-mail: lastra@cs.unc.edu Research area : Image Based-rendering, Graphics Hardware, High-performance Graphics. Period of visit : May 2004

Anselmo Lastra research interests include image based-rendering, graphics hardware and high-performance graphics.

Nina Amenta Afiliation : University of California at Davis Department of Computer Science Address: 2063 Engineering II, One Sheilds Avenue, Davis, CA 95616 Phone: (530) 754-5377 Fax: (530) 752-4767 E-mail: amenta@cs.ucdavis.edu Research area : Visualization and Surface Reconstruction. Period of visit : September 2004

Nina Amenta research is devoted to algorithms to reconstruct surfaces from clouds of points. She is also involved in an information visualization project in phylogeny at the Visualization and Graphics Research Group

Marshall Bern Afiliation : Palo Alto Research Center Computer Sciences Lab Address: 3333 Coyote Hill Rd., Palo Alto, CA 94304 Phone: (650) 812-4443 Fax: (650) 812-4471 e-mail: bern@parc.com Research area : Computational Geometry, Image Processing and Computer Vision. Period of visit : September 2004

Marshall Bern research has been in the area of computational geometry, including surface reconstruction, mesh generation, pushing disks together, and regression depth. He is also working on working on image processing and computer vision for biotechnology.

Larry S. Davis Afiliation : University of Maryland Institute for Advanced Computer Studies Address: Phone: (301) 405-6718 E-mail: lsd@umiacs.umd.edu Research area : Computer Vision. Period of visit : September 2004

Larry Davis is a Professor in the Institute for Advanced Computer Studies and the Department of Computer Science. He is affiliated with the Computer Vision Laboratory of the Center for Automation Research, for which he served as the head from 1981-1986. His current research projects include visual surveillance, 3D people tracking, 3D shape recognition, probabilistic space carving and stereo vision.

Val Pinciu Afiliation : Department of Mathematics Southern Connecticut State University Address: New Haven, CT 06515, Office: D 123 Engleman Hall Phone: (203) 392-6521 Fax: (203) 392-6808 E-mail: pinciuv1@southernct.edu Research area : Geometric Topology, Knot Theory, Graph Theory, Computational Geometry. Period of visit : October 2004

Ramesh Raskar Afiliation : Mitsubishi Electric Research Laboratories Address: Mitsubishi Electric Research Labs, 201 Broadway, Cambridge, MA 02139, USA. Phone: 617-621-7533 Fax: 617-621-7550 E-mail: raskar@merl.com Research area : Computer Vision, Non-photorealistic rendering, Intelligent user interfaces. Period of visit : October 2004

Ramesh Raskar joined MERL as a Research Scientist in 2000 after his doctoral research at U. of North Carolina at Chapel Hill, where he developed a framework for projector based displays. His work spans a range of topics in computer vision and graphics including projective geometry, non-photorealistic rendering and intelligent user interfaces. He has developed algorithms for image projection on planar, non-planar and quadric curved surfaces that simplify constraints on conventional displays and has proposed Shader Lamps, a new approach for projector-based augmented reality. Current projects include composite RFID (RFIG), multi-flash non-photorealistic camera for depth edge detection , locale-aware mobile projectors, high dynamic range video, image fusion for context enhancement and quadric transfer methods for multi-projector curved screen displays.
Dr. Raskar received the Mitsubishi Electric Information Technology R&D Award 2003, Global Indus Technovator Award 2003, instituted at MIT to recognize the top 20 Indian technology innovators on the globe, Mitsubishi Electric Valuable Invention Award 2004 and TR100 Award, Technology Review's 100 Top Young Innovators Under 35, 2004. His papers have appeared in SIGGRAPH, Eurographics, IEEE Visualization, CVPR and many other graphics and vision conferences . He has taught courses and has served as a member of international program committees at major conferences. He is a member of the ACM and IEEE.

Pat Hanrahan Afiliation :Computer Graphics Laboratory Computer Science and Electrical Engineering Departments School of Engineering Stanford University Address: Gates Computer Science Building, Room 370 3B Stanford, CA 94305-4070 Phone: (650) 723-8530 Fax: (650) 723-0033 E-mail: hanrahan@cs.stanford.edu Research area : Graphics Systems and Architectures and Visualization Period of visit : October 2004