We build a system by leveraging wavelength diversity and wavefront sensing. By combining the wavefronts from two wavlengths, the depth range can be extended by more than 1000x comparing with current wavefront sensors (e.g., WISH).

Left, Middle: Estimated phase maps from two closely spaced wavelengths. Right: Recovered 3D scructure of a macroscopic diffuse Bunny model.

Phase-retrieval based wavefront sensors have been shown to reconstruct the complex field from an object with a high-spatial resolution. Although the reconstructed complex field encodes the depth information of the object, it is impractical to be used as a depth sensor for macroscopic objects, since the unambiguous depth imaging range is limited by the optical wavelength. To improve the depth range of imaging and handle depth discontinuities, we propose a novel three-dimensional sensor by leveraging wavelength diversity and wavefront sensing. Complex fields at two optical wavelengths are recorded, and a synthetic wavelength can be generated by correlating those wavefronts. The proposed system achieves high lateral and depth resolutions. Our experimental prototype shows an unambiguous range of more than 1,000 larger compared with the optical wavelengths, while the depth precision is up to 9m for smooth objects and up to 69m for rough objects. We experimentally demonstrate 3D reconstructions for transparent, translucent, and opaque objects with smooth and rough surfaces.