TY - JOUR
T1 - Exploiting Wavelength Diversity for High Resolution Time-of-Flight 3D Imaging
AU - Li, Fengqiang
AU - Willomitzer, Florian
AU - Balaji, Muralidhar Madabhushi
AU - Rangarajan, Prasanna
AU - Cossairt, Oliver
N1 - Funding Information:
Oliver Cossairt is currently an associate professor with Computer Science and Electrical and Com-puter Engineering Departments, Northwestern Uni-versity. He is also the director of the Computational Photography Laboratory (CPL), Northwestern Uni-versity, whose research consists of a diverse port-folio, ranging in topics from optics or photonics, computer graphics, computer vision, machine learning, and image processing. The general goal of CPL is to develop imaging hardware and algo-rithms that can be applied across a broad range of physical scales, from nanometer to astronomical, which include active projects on 3D nano-tomography (10−9 m), computational microscopy (10−6 m), cultural heritage imaging analysis of paintings (10−3 m), structured light and ToF 3D-scanning of macroscopic scenes (1 m), de-scattering through fog for remote sensing (103 m), and coded aperture imaging for astronomy (106 m). He was the recipient of various funding from numerous corporate sponsorships, including Google, Rambus, Samsung, Omron, Oculus/Facebook, and Zoloz/Alibaba, and federal funding agencies, including ONR, NIH, DOE, DARPA, IARPA, and NSF CAREER Award.
Funding Information:
Fengqiang Li and Florian Willomitzer have contributed equally and are considered joint first authors of this paper. This work was supported in part by the Defense Advanced Research Projects Agency (DARPA) REVEAL under Grant HR0011-16-C-0028 and in part by the National Science Foundation (NSF) CAREER Award under Grant IIS-1453192.
Publisher Copyright:
© 1979-2012 IEEE.
PY - 2021/7/1
Y1 - 2021/7/1
N2 - The poor lateral and depth resolution of state-of-The-Art 3D sensors based on the time-of-flight (ToF) principle has limited widespread adoption to a few niche applications. In this work, we introduce a novel sensor concept that provides ToF-based 3D measurements of real world objects and surfaces with depth precision up to 35\mu mμm and point cloud densities commensurate with the native sensor resolution of standard CMOS/CCD detectors (up to several megapixels). Such capabilities are realized by combining the best attributes of continuous wave ToF sensing, multi-wavelength interferometry, and heterodyne interferometry into a single approach. We describe multiple embodiments of the approach, each featuring a different sensing modality and associated tradeoffs.
AB - The poor lateral and depth resolution of state-of-The-Art 3D sensors based on the time-of-flight (ToF) principle has limited widespread adoption to a few niche applications. In this work, we introduce a novel sensor concept that provides ToF-based 3D measurements of real world objects and surfaces with depth precision up to 35\mu mμm and point cloud densities commensurate with the native sensor resolution of standard CMOS/CCD detectors (up to several megapixels). Such capabilities are realized by combining the best attributes of continuous wave ToF sensing, multi-wavelength interferometry, and heterodyne interferometry into a single approach. We describe multiple embodiments of the approach, each featuring a different sensing modality and associated tradeoffs.
KW - Three-dimensional imaging
KW - computational photography
KW - optical interferometry
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U2 - 10.1109/TPAMI.2021.3075156
DO - 10.1109/TPAMI.2021.3075156
M3 - Article
C2 - 33886466
AN - SCOPUS:85104584590
SN - 0162-8828
VL - 43
SP - 2193
EP - 2205
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
JF - IEEE Transactions on Pattern Analysis and Machine Intelligence
IS - 7
M1 - 9411705
ER -