3-D Scene Reconstruction from Aerial Imagery

Abstract

3-D scene reconstructions derived from Structure from Motion (SfM) and Multi-View Stereo (MVS) techniques were analyzed to determine the optimal reconnaissance flight characteristics suitable for target reconstruction. In support of this goal, a preliminary study of a simple 3-D geometric object facilitated the analysis of convergence angles and number of camera frames within a controlled environment. Reconstruction accuracy measurements revealed at least 3 camera frames and a 6 convergence angle were required to achieve results reminiscent of the original structure. The central investigative effort sought the applicability of certain airborne reconnaissance flight profiles to reconstructing ground targets. The data sets included images collected within a synthetic 3-D urban environment along circular, linear and s-curve aerial flight profiles equipped with agile and non-agile sensors. S-curve and dynamically controlled linear flight paths provided superior results, whereas with sufficient data conditioning and combination of orthogonal flight paths, all flight paths produced quality reconstructions under a wide variety of operational considerations.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2012
Accession Number
ADA557206

Entities

People

  • Jared M. Ekholm

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Ground and Sea Platforms
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Aircrafts
  • Cameras
  • Computer Vision
  • Coordinate Systems
  • Data Processing
  • Detection
  • Detectors
  • Feature Extraction
  • Geometry
  • Image Processing
  • Parallel Computing
  • Processing Equipment
  • Test And Evaluation
  • Three Dimensional
  • United States Government

Readers

  • Computer Vision.
  • Robotics and Automation.
  • Systems Analysis and Design

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers