Exploring High-Level Plane Primitives for Indoor 3D Reconstruction with a Hand-held RGB-D Camera

@inproceedings{Dou2012ExploringHP,
  title={Exploring High-Level Plane Primitives for Indoor 3D Reconstruction with a Hand-held RGB-D Camera},
  author={Mingsong Dou and Li Guan and Jan-Michael Frahm and Henry Fuchs},
  booktitle={ACCV Workshops},
  year={2012}
}
Given a hand-held RGB-D camera (e.g. Kinect), methods such as Structure from Motion (SfM) and Iterative Closest Point (ICP), perform poorly when reconstructing indoor scenes with few image features or little geometric structure information. In this paper, we propose to extract high level primitives– planes–from an RGB-D camera, in addition to low level image features (e.g. SIFT), to better constrain the problem and help improve indoor 3D reconstruction. Our work has two major contributions… CONTINUE READING
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