Aerial scene synthesis from images

  • Authors:
  • David Nilosek;Karl Walli

  • Affiliations:
  • Rochester Institute of Technology;Rochester Institute of Technology

  • Venue:
  • SIGGRAPH '09: Posters
  • Year:
  • 2009

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Abstract

Automated synthetic terrain and architecture generation is now becoming feasible with calibrated camera remote sensing. This poster implements computer vision techniques that have recently become popular to extract "structure from motion" (SfM) of a calibrated camera with respect to a target. This process will build off of Microsoft's popular "PhotoSynth" technique and apply it to geographic scenes imaged from an airborne platform. Additionally, it will be augmented with new features to increase the fidelity of the 3D structure for realistic scene modeling. This includes the generation of both sparse and dense point clouds useful for synthetic macro/micro-scene reconstruction.