systems for use in several application areas, including remote video surveillance and interactive document systems. Our work on interactive documents focuses on the use of images and video in learning and collaboration tools.
Daniel P. Huttenlocher
Cornell Weiss Presidential Fellow
PhD MIT, 1988
My main area of research is computer vision, and my recent work focuses on the problems of geometric shape
compar- ison, model-based motion tracking and image segmentation. My approach to these problems involves a
combination of theoretical analysis, algorithm design, implementation, and experimentation. The overall goal is to produce systems that work well in practice and have a firm underlying theoretical and algorithmic foundation. My group is developing
Chair: University Faculty Advisory Board on Information Technology
Chair: Provost's Task Force on
Computing and Information Science
Chair: Computer Science Facilities
Member: Project 2000 Executive
Member: Weiss Fellow Award
collaborations: An exploration
of educational uses of
technologies. Journal of
Communication 4, 3 (March
1999) (with G. Gay, A.Sturgill, and W. Martin).
A new bayesian approach to
Proceedings of the IEEE
Computer Vision and
Conference (1999) (with Y.
Fast detection of common
geometric substructure in
proteins. Proceedings of 3rd
ACM RECOMB, Research in
Computational Biology (Apr. 1999), 104-113 (with
P. Chew, K. Kedem, and J.
- Fontless structured document
image representations for
efficient rendering, U.S. Patent
5,884,014, March, 1999
(with W. Rucklidge).
- Method and apparatus for comparing symbols extracted
from binary images of text using topology preserved
dilated representations of the
symbols, U.S. Patent 5,835,638, Nov, 1998 (with
W. Rucklidge and E. Jaquith).