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Effect of Pickup Position Uncertainty in Three-Dimensional Computational Integral Imaging

  • Mehdi DaneshPanah
  • Behnoosh Tavakoli
  • Bahram Javidi
  • Edward A. Watson
Chapter

Abstract

This chapter will review the relevant investigations analyzing the performance of Integral Imaging (II) technique under pickup position uncertainty. Theoretical and simulation results for the sensitivity of Synthetic Aperture Integral Imaging (SAII) to the accuracy of pickup position measurements are provided. SAII is a passive three-dimensional, multi-view imaging technique that, unlike digital holography, operates under incoherent or natural illumination. In practical SAII applications, there is always an uncertainty associated with the position at which each sensor captures the elemental image. In this chapter, we theoretically analyze and quantify image degradation due to measurements’ uncertainty in terms of Mean Square Error (MSE) metric. Experimental results are also presented that support the theory. We show that in SAII, with a given uncertainty in the sensor locations, the high spatial frequency content of the 3-D reconstructed images are most degraded. We also show an inverse relationship between the reconstruction distance and degradation metric.

Keywords

Mean Square Error Full Width Half Maximum Average Mean Square Error Elemental Image Reconstruction Plane 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Mehdi DaneshPanah
  • Behnoosh Tavakoli
  • Bahram Javidi
    • 1
  • Edward A. Watson
  1. 1.Department of Electrical and Computer EngineeringU-2157 University of ConnecticutStorrsUSA

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