Practical Generation of Models From Acquired Data 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.