  We achieved three-dimensional (3D) computational ghost imaging with multiple
photoresistors serving as single-pixel detectors using semi-calibrated lighting
approach. We performed imaging in the spatial frequency domain by having each
photoresistor obtain the Fourier spectrum of the scene at a low spectral
coverage ratio of 5%. To retrieve a depth map of a scene, we inverted,
apodized, and applied semi-calibrated photometric stereo (SCPS) to the spectra.
At least 93.5% accuracy was achieved for the 3D results of the apodized set of
images applied with SCPS in comparison with the ground truth. Furthermore,
intensity error map statistics obtained at least 97.0% accuracy for the
estimated surface normals using our method. Our system does not need special
calibration objects or any additional optical components to perform accurate 3D
imaging, making it easily adaptable. Our method can be applied in current
imaging systems where multiple detectors operating at any wavelength are used
for two-dimensional (2D) imaging, such as imaging cosmological objects.
Employing the idea of changing light patterns to illuminate a target scene and
having stored information about these patterns, the data retrieved by one
detector will give the 2D information while the multiple-detector system can be
used to get a 3D profile.
