3D Stereo Data Visualization and Representation

Abstract

This thesis investigates a technique for improving the perception and visualization of three dimensional information. This improvement will eventually give physicians the ability to both visualize and understand biomedical image data. Raw data is used to generate a stereo image pair. The raw data must be put in run length encoding (RLE) format and then converted to a stereo pair. Once the stereo pair is generated, they must be displayed on the Silicon Graphics ONYX workstation in stereo mode. This research uses 3D images of planets and satellites. The display information is transmitted across cable and is projected onto a spherical mirror, a real 3D stereo image can be observed. Biomedical data of interest to this research are slices of a volume of tissue. To convert the slice information into volume data a representation that allows meaningful interpolation between the slices for stereo image pair generation is necessary. A second thrust of this thesis is to investigate neural networks and Kriging algorithm for potential use in interpolation of the biomedical volume data

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1994
Accession Number
ADA284788

Entities

People

  • Kai-heng Wang

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Computational Science
  • Computer Graphics
  • Computer Programs
  • Computer Vision
  • Computers
  • Data Visualization
  • Display Systems
  • Image Processing
  • Information Processing
  • Light Sources
  • Medical Personnel
  • Neural Networks
  • Optical Phenomena
  • Pattern Recognition
  • Self Organizing Systems
  • Statistical Algorithms
  • Three Dimensional

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Geodesy
  • Medical Imaging.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Biotechnology
  • Biotechnology - Cancer Biotech
  • Space