3D Urban Reconstruction from Wide Area Aerial Surveillance Video

@article{Kang20153DUR,
  title={3D Urban Reconstruction from Wide Area Aerial Surveillance Video},
  author={Zhuoliang Kang and G{\'e}rard G. Medioni},
  journal={2015 IEEE Winter Applications and Computer Vision Workshops},
  year={2015},
  pages={28-35}
}
We propose an approach to solve camera pose estimation and dense reconstruction from Wide Area Aerial Surveillance (WAAS) videos captured by an airborne platform hovering around the urban scenes. Our approach solves them in an online fashion: it incrementally updates a sparse 3D model as well as a dense 2.5D Digital Surface Model (DSM) as each new frame arrives; the camera pose of each new frame is estimated using Perspective-n-Point (PnP) method with 2D-3D image-model feature matches. Dense… CONTINUE READING

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