@InProceedings{nagamatsu:mva:2019,
  author    = {Nagamatsu, Genki and Furukawa, Ryo and Sagawa, Ryusuke and Kawasaki, Hiroshi},
  title     = {Single-wavelength and multi-parallel dotted- and solid-lines for dense and robust active 3D reconstruction},
  booktitle = {IAPR International Conference on Machine Vision Applications},
  year      = {2019},
  pages     = {1--6},
  address   = {Tokyo, Japan},
  month     = {May 27-May 31},
  note      = {Poster},
  url       = {http://www.cvg.ait.kyushu-u.ac.jp/papers/2018/37-paper.pdf},
  keywords  = {Three-dimensional displays, Decoding, Shape, Image recinstruction, Scattering, Cameras, Calibration},
  doi       = {10.23919/MVA.2019.8758011},
  abstract  = {A dense one-shot scanning technique that is robust to subsurface scattering is proposed. In this technique, a novel pattern, consisting of multiple parallel dotted lines and solid lines, that are aligned alternately, is proposed. To project such a pattern efficiently, a singlewavelength laser-based pattern projector is developed. To detect patterns robustly from captured images, a black and white camera attached with a narrow-bandpath filter is used in conjunction with our novel deep learning based algorithm, which is based on a convolutional neural network (CNN). Because the detected lines must be identified for shape reconstruction, we apply a gap-coding technique, which is originally based on a grid-line pattern, to the dot pattern. To this end, we introduce a virtual grid-line structure, which is generated from the dot pattern. Additionally, we propose a calibration algorithm specialized for our system, where the pattern is static and shared with the shape reconstruction algorithm, i.e., correspondence problem remains. For a solution, gap-coding is further applied to find correspondences under epipolar constraints. The experimental results of scanning real objects are presented to demonstrate the effectiveness of our calibration and reconstruction techniques.}
}