Daniel P. Huttenlocher
Associate Professor
Cornell Weiss Presidential Fellow
dph@cs.cornell.edu
Ph.D. 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. The initial results are encouraging. For example we have a system that uses visual information to guide a mobile robot using only two-dimen-sional representations. The main focus of our work this past year has been in building systems in order to apply our theoretical and algorithmic results from the last few years to real problems. In addition to robotic applications, we are working on searching images of documents (in conjunction with the Cornell Digital Library initiative) and on using our motion tracking techniques to provide automatic structuring of video data-e.g. marking "sections" when a person enters or leaves the scene.

Awards

• Stephen H. Weiss Presidential Teaching Fellow

University Activities

• On Sabbatical Leave

Professional Activities

• Associate Editor: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)
• Program Committee, Area Co-Chair: 1996 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
• Program Co-Chair: 1997 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
• Program Committee: Second Workshop on Object Representation for Computer Vision, 1996

Lectures

• Using two-dimensional image matching to interpret the three-dimensional world. Weizmann Institute, Rehovot, Israel, June 1996.
• ___. Ben Gurion University, Beer Sheva, Israel, June 1996. Geometric pattern matching in computer vision. Workshop on Applied Computational Geometry, Philadelphia, PA, May 1996.
• CoNote: Shared annotations for cooperative learning. Keynote Speech, National Association of EE Department Heads Meeting, San Diego, CA, March 1996.
• Using two-dimensional image matching to interpret the three-dimensional world. INRIA Sophia-Antipolis, Sophia Antipolis, France, September 1995.
• ___. LIFIA-IMAG Grenoble, Grenoble, France, September 1995. Computational geometry and model-based object recognition. Ionian Workshop on Geometry and Vision, Corfu, Greece, September 1995.

Publications

• Recognizing three-dimensional objects by comparing two-dimensional images. Proceedings of IEEE Computer Vision and Pattern Recognition Conference, June 1996 (with L. Lorigo).
• Object recognition using subspace methods. Computer Vision I, ECCV '96, Vol. 1, (B. Buxton, R. Cipolla, Eds.), LNCS 1064, Springer-Verlag, NY, April 1996, 536-545 (with R. Lilien and C. Olson).
• Recognition by matching dense, oriented edge pixels. Proceedings of the IEEE International Symposium on Computer Vision, November 1995, 91-86 (with C. Olson).

1995-1996 Annual Report Home Page

Departmental Home Page

If you have questions or comments please contact: www@cs.cornell.edu.

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Last modified: 2 November 1996 by Denise Moore (denise@cs.cornell.edu).