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Course 4


CAL
Practical Generation of Models From Acquired Data
Level 5
A detailed discussion of how to create polygonal models from acquired data. Such models are used in a wide variety of fields including animation, architecture, illustration, engineering, and medicine. Models based on acquired data tend to be accurate, realistic, and rich in content. Common sources of acquired data include computed tomography, magnetic resonance imaging, physical slices, range cameras, laser scanners, 3DOF probes, structured light, and coordinate measuring machines. This course presented the techniques used to create polygonal models from these data sources, showed examples of the results, and discussed how to optimize the results.
 
Organizer
Ken Martin
Kitware Inc.
 
Lecturers
Brian Curless
University of Washington
 
William Lorensen
General Electric Company
 
Ken Martin
William J. Schroeder

Kitware Inc.

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