Size and shape recognition using measurement statistics and random 3D reference structures.

Published

Journal Article

Three dimensional (3D) reference structures segment source spaces based on whether particular source locations are visible or invisible to the sensor. A lensless 3D reference structure based imaging system measures projections of this source space on a sensor array. We derive and experimentally verify a model to predict the statistics of the measured projections for a simple 2D object. We show that the statistics of the measurement can yield an accurate estimate of the size of the object without ever forming a physical image. Further, we conjecture that the measured statistics can be used to determine the shape of 3D objects and present preliminary experimental measurements for 3D shape recognition.

Full Text

Duke Authors

Cited Authors

  • Sinha, A; Brady, D

Published Date

  • October 1, 2003

Published In

Volume / Issue

  • 11 / 20

Start / End Page

  • 2606 - 2618

PubMed ID

  • 19471374

Pubmed Central ID

  • 19471374

Electronic International Standard Serial Number (EISSN)

  • 1094-4087

International Standard Serial Number (ISSN)

  • 1094-4087

Digital Object Identifier (DOI)

  • 10.1364/oe.11.002606

Language

  • eng