Single-pixel 3D imaging based on fusion temporal data of single photon
  detector and millimeter-wave radar
Tingqin Lai Xiaolin Liang Yi Zhu Xinyi Wu Lianye Liao Xuelin Yuan Ping Su Shihai Sun
Recently, there has been increased attention towards 3D imaging using
single-pixel single-photon detection (also known as temporal data) due to its
potential advantages in terms of cost and power efficiency. However, to
eliminate the symmetry blur in the reconstructed images, a fixed background is
required. This paper proposes a fusion-data-based 3D imaging method that
utilizes a single-pixel single-photon detector and a millimeter-wave radar to
capture temporal histograms of a scene from multiple perspectives.
Subsequently, the 3D information can be reconstructed from the one-dimensional
fusion temporal data by using Artificial Neural Network (ANN). Both the
simulation and experimental results demonstrate that our fusion method
effectively eliminates symmetry blur and improves the quality of the
reconstructed images.