TY - GEN
T1 - WISHED
T2 - 2020 IEEE International Conference on Computational Photography, ICCP 2020
AU - Wu, Yicheng
AU - Li, Fengqiang
AU - Willomitzer, Florian
AU - Veeraraghavan, Ashok
AU - Cossairt, Oliver
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/4
Y1 - 2020/4
N2 - 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 x larger compared with the optical wavelengths, while the depth precision is up to 9μm for smooth objects and up to 69μm for rough objects. We experimentally demonstrate 3D reconstructions for transparent, translucent, and opaque objects with smooth and rough surfaces.
AB - 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 x larger compared with the optical wavelengths, while the depth precision is up to 9μm for smooth objects and up to 69μm for rough objects. We experimentally demonstrate 3D reconstructions for transparent, translucent, and opaque objects with smooth and rough surfaces.
KW - 3D imaging
KW - Phase retrieval
KW - Wavefront sensing
KW - Wavelength diversity
UR - http://www.scopus.com/inward/record.url?scp=85086629213&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85086629213&partnerID=8YFLogxK
U2 - 10.1109/ICCP48838.2020.9105280
DO - 10.1109/ICCP48838.2020.9105280
M3 - Conference contribution
AN - SCOPUS:85086629213
T3 - IEEE International Conference on Computational Photography, ICCP 2020
BT - IEEE International Conference on Computational Photography, ICCP 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 24 April 2020 through 26 April 2020
ER -