Daniel P. Huttenlocher
PhD MIT, 1988
My research area is computer vision, and my work focuses on the problems of
model-based recognition, geometric shape comparison, and the computation of
visual correspondence. My approach to these problems involves a
combination of theoretical analysis, algorithm design, implementation, and
experimentation. The overall goal of my work is to produce systems that
work well in practice and have a firm underlying theoretical and
algorithmic foundation. Recently we have begun to look at tasks in which
two-dimensional shape matching methods can be used to solve problems that
are three-dimensional in nature. The main question that we are
investigating is whether purely two-dimensional representations are
sufficient for solving certain tasks, such as motion tracking or visual
navigation. We have developed a system that uses visual information to
guide a mobile robot using only two-dimensional representations. In
addition to robotic applications, we have been developing model-based video
compression schemes using the same underlying two-dimensional shape
- Chair, Computer Science Department Computing Facilities Committee
- Department of Electrical Engineering Recruiting Committee
- Faculty Advisory Board on Information Technology
- Associate Editor, IEEE Transactions on Pattern Analysis and Machine
- Program Committee, Fifth International Conference on Computer Vision
- Program Committee, Workshop on Context Based Vision
- National Science Foundation Presidential Young Investigator Award (1990-95)
- Outstanding Educator Award, Merrill Presidential Scholar Program,
Cornell University, 1995
- Using two-dimensional image matching to interpret the three-dimensional
world. University of California Berkeley AI Seminar, Berkeley CA,
- ___. Sandia National Labs Robotics Seminar, Albuquerque NM, December 1994.
- ___. Carnegie Mellon University Robotics Institute, Pittsburgh PA,
- Geometric algorithms for computer vision. University of British
Columbia Computer Science Dept., Vancouver BC, August 1994.
- ___. Microsoft Corp., Redmond WA, June 1994.
- A study of affine matching with bounded sensor error. International
Journal of Computer Vision 13, 1 (1994), 7-32 (with W.E.L. Grimson
and D.W. Jacobs).
- Computing visual correspondence: incorporating the probability of a
false match. Proceedings of the Fifth International Conference on
Computer Vision, (1995) (with E.W. Jaquith).
- Visually guided navigation by comparing two-dimensional edge images.
Proceedings of the IEEE Computer Vision and Pattern Recognition
Conference, (1994), 842-847 (with M.E. Leventon and W.J. Rucklidge).
- Comparing images using the Hausdorff distance. IEEE Transactions on
Pattern Analysis and Machine Intelligence 15, 9 (1993), 850-863
(with G.A. Klanderman and W.J. Rucklidge).
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Last modified: 24 November 1995 by Denise Moore