Open AccessSize and shape recognition using measurement statistics and random 3D reference structures
Author(s) -
Arnab Sinha,
David J. Brady
Publication year - 2003
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.11.002606
Subject(s) - computer science , object (grammar) , optics , artificial intelligence , cognitive neuroscience of visual object recognition , pattern recognition (psychology) , computer vision , statistics , mathematics , physics
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.