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Computational Vision at Yale

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Abstract

We present a brief introduction to the five articles that make up this special issue: Shock Graphs and Shape Matching, The Bas-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 Data Fusion: Application in Cardiac Motion Recovery. Tjis introduction and accompanying articles provide a by no means exhaustive, but hopefully representative sampling of the computational vision at Yale University.

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Authors and Affiliations

  1. Center for Computational Vision and Control, Departments of Electrical Engineering and Computer Science, Yale University, New Haven, CT, 06520, USA

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

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  1. Peter N. Belhumeur
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  2. James S. Duncan
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  3. Gregory D. Hager
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  4. Drew V. McDermott
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  5. A. Stephen Morse
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  6. Steven W. Zucker
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Belhumeur, P.N., Duncan, J.S., Hager, G.D. et al. Computational Vision at Yale. International Journal of Computer Vision 35, 5–12 (1999). https://doi.org/10.1023/A:1008181109865

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