%0 Journal Article %1 9411705 %A Li, Fengqiang %A Willomitzer, Florian %A Balaji, Muralidhar Madabhushi %A Rangarajan, Prasanna %A Cossairt, Oliver %D 2021 %J IEEE Transactions on Pattern Analysis and Machine Intelligence %K tof %N 7 %P 2193-2205 %R 10.1109/TPAMI.2021.3075156 %T Exploiting Wavelength Diversity for High Resolution Time-of-Flight 3D Imaging %U https://ieeexplore.ieee.org/document/9411705 %V 43 %X 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$m$μm 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.

@article{9411705, abstract = {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$\mu m$μm 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.}, added-at = {2021-06-21T02:25:56.000+0200}, author = {Li, Fengqiang and Willomitzer, Florian and Balaji, Muralidhar Madabhushi and Rangarajan, Prasanna and Cossairt, Oliver}, biburl = {https://www.bibsonomy.org/bibtex/20bf95c8c234234239058b5181bf8a3e0/sherlock.hsu}, description = {Exploiting Wavelength Diversity for High Resolution Time-of-Flight 3D Imaging | IEEE Journals & Magazine | IEEE Xplore}, doi = {10.1109/TPAMI.2021.3075156}, interhash = {0642962ecba7c758bb066dbe3c1af0c9}, intrahash = {0bf95c8c234234239058b5181bf8a3e0}, issn = {1939-3539}, journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence}, keywords = {tof}, month = {July}, number = 7, pages = {2193-2205}, timestamp = {2021-06-21T02:25:56.000+0200}, title = {Exploiting Wavelength Diversity for High Resolution Time-of-Flight 3D Imaging}, url = {https://ieeexplore.ieee.org/document/9411705}, volume = 43, year = 2021 }