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Recently, there has been increased attention towards 3D imaging usingsingle-pixel single-photon detection (also known as temporal data) due to itspotential advantages in terms of cost and power efficiency. However, toeliminate the symmetry blur in the reconstructed images, a fixed background isrequired. This paper proposes a fusion-data-based 3D imaging method thatutilizes a single-pixel single-photon detector and a millimeter-wave radar tocapture temporal histograms of a scene from multiple perspectives.Subsequently, the 3D information can be reconstructed from the one-dimensionalfusion temporal data by using Artificial Neural Network (ANN). Both thesimulation and experimental results demonstrate that our fusion methodeffectively eliminates symmetry blur and improves the quality of thereconstructed images.

Single-pixel 3D imaging based on fusion temporal data of single photon detector and millimeter-wave radar