Computational vision at Yale

Peter N. Belhumeur, James S. Duncan, Gregory D. Hager, Drew V. McDermott, Stephen A. Morse, Steven W. Zucker

Research output: Contribution to journalArticle

Abstract

We present a brief introduction to the five articles that make up this special issue: Shock Graphs and Shape Matching, The Base-Relief Ambiguity, Incremental Focus of Attention for Robust Vision Based Tracking, What Tasks can be Performed with an Uncalibrated Stereo Vision System, and Volumetric Deformation Analysis Using Mechanics-Based Date Fusion: Application in Cardiac Motion Recovery. This introduction and accompanying articles provide a by no means exhaustive, but hopefully representative sampling of the computational vision research at Yale University.

Original languageEnglish (US)
Pages (from-to)5-12
Number of pages8
JournalInternational Journal of Computer Vision
Volume35
Issue number1
DOIs
StatePublished - Dec 1 1999
Externally publishedYes

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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  • Cite this

    Belhumeur, P. N., Duncan, J. S., Hager, G. D., McDermott, D. V., Morse, S. A., & Zucker, S. W. (1999). Computational vision at Yale. International Journal of Computer Vision, 35(1), 5-12. https://doi.org/10.1023/A:1008181109865