Daniel P. HuttenlocherAssociate Professor PhD MIT, 1988My main area of research is computer vision, and my recent work focuses on the problems of geometric shape comparison, 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. |
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| My group is developing vision 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. | |
University Activities
Cornell Electronic Publishing Steering Committee
Cornell Project 2000 Advisory Committee for Student Information Access
Chair: FABIT Subcommittee on Undergraduate Access to Information
Publications
Geometric pattern matching under Euclidean motion. Computational Geometry: Theory and Applications 7, 1 (1997), 113-124 (with L.P. Chew, M.T. Goodrich, K. Kedem, J.M. Kleinberg, and D. Kravets).
Chair: FABIT Subcommittee on Undergraduate Access to Information
Publications
Geometric pattern matching under Euclidean motion. Computational Geometry: Theory and Applications 7, 1 (1997), 113-124 (with L.P. Chew, M.T. Goodrich, K. Kedem, J.M. Kleinberg, and D. Kravets).
An object recgonition system for complex imagery that models the probability of a false positive. IEEE Trans. Image Processing 6, 1 (1997), 103-113 (with C.M. Olson).
Computer vision. In Handbook of Computer Science and Engineering (A. Tucker, ed.), CRC Press, (1997).
Patents
Method for Comparing Word Shapes. U.S. Patent 5,687,253, Nov. 1997 (with M. Hopcroft).
Method of Deriving Wordshapes for Subsequent Comparison. U.S. Patent 5,640,466, July 1997 (with M. Hopcroft)