Optical Correlation Based Pose Estimation Using Bipolar Amplitude Spatial Light Modulators

Abstract

Pose estimation using a bank of filters and a pose search algorithm approach was performed in both the digital and optical domains sub-degree standard deviations in accuracy. The digital routine required less image processing than the optical method. This is because of this inability of the input SLM to achieve the resolution of the original digital image. The digital method is also capable of implementing complex composite filter designs. These filters generally performed poorly when directly optically implemented. This was not an unexpected result ar was due to the limited dynamic range of the filter SLM and its amplitude only (real valued) modulation. Using Matlab as an interface to the correlator for the pose estimation routine and for the development of filter conversion algorithms and image processing of the 3D software generated training images allowed for the programming and generation of the filter bank and image loading sequence for bank of filters with search algorithm proof of concept. This allowed for programmable changes to filter designs or image processing to be implemented within a single software platform. This general approach to pose estimation is therefore more streamlined and less costly in time and hardware from development to simulation than other existing approaches.

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Document Details

Document Type
Technical Report
Publication Date
Dec 22, 2008
Accession Number
ADA574398

Entities

People

  • Don A . Gregory
  • Gregory J. Outerbridge Ii

Organizations

  • University of Alabama in Huntsville

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Correlation Techniques
  • Data Processing
  • Detectors
  • Image Processing
  • Information Science
  • Jet Propulsion
  • Modulation
  • Modulators
  • Optical Correlators
  • Optical Modulators
  • Optical Properties
  • Optics
  • Pattern Recognition
  • Recognition
  • Statistical Analysis
  • Target Recognition
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation
  • Computer Vision.