3D Modeling of Urban Sites from Point Clouds

Abstract

This project focuses on the developments of advanced techniques for processing 3D point cloud data specially targeted for 3D urban modeling. Current work on urban modeling has focused on either isolated objects or large-scale structures, not the wide diversity of small-scale objects occurring in urban scenes. The ultimate objective of this research is to pursue new techniques and solutions that extend the range of object classes that can be rapidly discovered, recognized, extracted and modeled from point-cloud data.

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Document Details

Document Type
Technical Report
Publication Date
May 03, 2017
Accession Number
AD1058665

Entities

People

  • Suya You

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Autonomy
  • C4I

DTIC Thesaurus Topics

  • Artificial Intelligence Software
  • Artificial Neural Networks
  • Change Detection
  • Classification
  • Complex Systems
  • Computer Vision
  • Computers
  • Convolutional Neural Networks
  • Deep Learning
  • Department Of Defense
  • Detection
  • Engineering
  • Geometry
  • Image Processing
  • Machine Learning
  • Mathematics
  • Neural Networks
  • Object Recognition
  • Patent Applications
  • Pattern Recognition
  • Point Clouds
  • Recognition
  • Supervised Machine Learning
  • Three Dimensional
  • Urban Areas

Readers

  • Distributed Systems and Data Platform Development
  • Image Processing and Computer Vision.
  • Nuclear Civil Defense.