title: Size and shape recognition using measurement statistics and random 3D reference structures.
abstract: 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.
authors.forename: Arnab
authors.initials: A
authors.lastname: Sinha
authors.forename: David
authors.initials: D
authors.lastname: Brady