Daniel P. Huttenlocher
Associate Professor
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 matching methods.

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Last modified: 24 November 1995 by Denise Moore (denise@cs.cornell.edu).