Range Finding with a Plenoptic Camera

Abstract

The plenoptic camera enables simultaneous collection of imagery and depth information by sampling the 4D light field. The light field is distinguished from data sets collected by stereoscopic systems because it contains images obtained by an N by N grid of apertures, rather than just the two apertures of the stereoscopic system. By adjusting parameters of the camera construction, it is possible to alter the number of these `subaperture images,' often at the cost of spatial resolution within each. This research examines a variety of methods of estimating depth by determining correspondences between subaperture images. A major finding is that the additional 'apertures' provided by the plenoptic camera do not greatly improve the accuracy of depth estimation. Thus, the best overall performance will be achieved by a design which maximizes spatial resolution at the cost of angular samples. For this reason, it is not surprising that the performance of the plenoptic camera should be comparable to that of a stereoscopic system of similar scale and specifications. As with stereoscopic systems, the plenoptic camera has its most immediate, realistic applications in the domains of robotic navigation and 3D video collection.

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Document Details

Document Type
Technical Report
Publication Date
Mar 27, 2014
Accession Number
ADA599366

Entities

People

  • Robert A. Raynor

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Biomedical
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Artificial Intelligence
  • Cameras
  • Computer Vision
  • Data Sets
  • Detectors
  • Geometry
  • Governments
  • Image Processing
  • Image Registration
  • Photography
  • Random Variables
  • Range Finding
  • Two Dimensional
  • United States
  • United States Government

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Phased Array Antenna Design.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • AI & ML
  • Autonomy