Computational Vision at Yale

  • Authors:

  • Peter N. Belhumeur;James S. Duncan;Gregory D. Hager;Drew V. Mcdermott;A. Stephen Morse;Steven W. Zucker

  • Affiliations:

  • Center for Computational Vision and Control, Departments of Electrical Engineering and Computer Science, Yale University, New Haven CT 06520, USA;Imaging Processing and Analysis Group, Departments of Diagnostic Radiology and Electrical Engineering, Yale University, New Haven CT 06520, USA;Center for Computational Vision and Control, Departments of Computer Science and Electrical Engineering, Yale University, New Haven CT 06520, USA;Center for Computational Vision and Control, Department of Computer Science, Yale University, New Haven CT 06520, USA;Center for Computational Vision and Control, Department of Electrical Engineering, Yale University, New Haven CT 06520, USA;Center for Computational Vision and Control, Departments of Computer Science and Electrical Engineering, Yale University, New Haven CT 06520, USA

  • Venue:
  • International Journal of Computer Vision
  • Year:
  • 1999

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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.