Analysis of Segmented Spatial Distributions

Abstract

Together with my PhD student Young Kim, I have explored how to deduce from spatially distributed moving point sets information relevant to situation awareness. A technology assessment of techniques from computational geometry has been augmented with new concepts responsive to customer requirements. The computed information has been presented in a pre-attentive manner to aid rapid comprehension. In collaboration with Sami Kilic, visiting scientist, and Mete Sozen, Prof. of Civil Engr, I have completed a simulation study of the 9/11 Pentagon attack. Sozen is member of the Damage Assessment team organized by ASCE, and my work is included in the official report. See http://www.cs.purdue.edu/homes/cmh/simulation. Additional findings in the more general setting of computational geometry include an investigation of the practical utility of kinetic data structures, a concept developed by Guibas and Basch at Stanford, and significant advances in geometric constraint solving, a key technology for positioning and moving geometric entities based on constraints. There has also been work on extracting geomtric information from confocal microscopy images.

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Document Details

Document Type
Technical Report
Publication Date
Feb 24, 2003
Accession Number
ADA416077

Entities

Organizations

  • Purdue University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Classification
  • Comprehension
  • Computations
  • Confocal Microscopy
  • Damage
  • Damage Assessment
  • Geometry
  • Microscopy
  • Optical Scanning
  • Scientists
  • Segmented
  • Simulations
  • Situational Awareness
  • Spatial Distribution
  • Teamwork
  • Technology Assessment

Readers

  • Computer Vision.
  • Facility/Structural Engineering.
  • Research Science/Academic Research