June 2018
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I'm interning at the Intelligent Systems Lab at Intel this summer with Vladlen Koltun
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March 2018
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Our paper on seeing around corners was published in Nature!
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2016-Present
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Stanford University
Ph.D Electrical Engineering |
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2009-2016
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Brigham Young University
B.S. Electrical Engineering Summa Cum Laude M.S. Electrical Engineering |
2016-Present
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Stanford University, Ph.D. Student
Advisor: Gordon Wetzstein Area: Computational Imaging, single photon detectors, virtual reality Project: Reconstruction of transient images, non-line of sight imaging, virtual reality rendering |
2014-2016
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Brigham Young University, M.S. Student
Advisor: David Long Area: Radar Image Processing, Resolution Enhancement, Geoscience Project: Arctic ice classification, soil moisture estimation from C-band/Ku-band scatterometers and radiometers |
2013-2014
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Brigham Young University, B.S. Student
Advisor: Aaron Hawkins Area: Semiconductor Devices, Cleanroom Fabrication, Circuit Design Project: Fabrication of a solid-state single ion detection unit |
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D. B. Lindell, M. O'Toole, G. Wetzstein, “Single-Photon 3D Imaging with Deep Sensor Fusion”, ACM SIGGRAPH, 2018.
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D. B. Lindell, M. O'Toole, G. Wetzstein, “Towards Transient Imaging at Interactive Rates with Single-Photon Detectors”, Proc. ICCP, 2018.
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M. O’Toole, D. B. Lindell, G. Wetzstein, “Confocal Non-Line-of-Sight Imaging based on the Light Cone Transform”, Nature, 2018.
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M. O’Toole, F. Heide, D. B. Lindell, K. Zang, S. Diamond, G. Wetzstein, “Reconstructing Transient Images from Single-Photon Sensors”, Proc. CVPR, 2017.
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D. B. Lindell and D. G. Long, "Multiyear Arctic Sea Ice Classification Using OSCAT and QuikSCAT,"
in IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 1, pp. 167-175, Jan. 2016.
doi: 10.1109/TGRS.2015.2452215
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D. B. Lindell and D. G. Long, "Multiyear Arctic Ice Classification Using ASCAT and SSMIS," in Remote Sensing, vol. 8, no. 4,
pp. 294, Mar. 2016. doi: 10.3390/rs8040294
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D. B. Lindell and D. G. Long, "High-Resolution Soil Moisture Retrieval With ASCAT," in
IEEE Geoscience and Remote Sensing Letters,
vol. 13, no. 7, pp. 972-976, July 2016.
doi: 10.1109/LGRS.2016.2557321
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Virtual Reality Motion Parallax with the Facebook Surround-360
Current virtual reality displays for viewing captured 360-degree stereo videos typically provide the wearer with a view from a single vantagepoint. We demonstrate that images from a commercial 360-degree camera rig can be processed to enable head-motion parallax while viewing with a head-mounted display. Such a viewing experience more closely mimics how we experience the real-world and can help to alleviate virtual-reality sickness and viewing discomfort. |
March 2016-August-2016
Mankato, MN (remote) |
Software For Hire
Position: Computer Vision Specialist Project: Developed fast, multithreaded vision algorithm for a pharmaceutical tablet counter using open source software, including Boost, OpenCV, and Point Cloud Library. |
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June 2016-July-2016
Tucson, AZ |
Rincon Research Corporation
Position: Electrical Engineering Intern Project: Developed a cloud-based digital video recording system to stream and record live video. Integrated live broadcast television demodulation capability using GNU Radio and Rincon Research Corporation signal processing hardware. |
Last updated on 8 Oct 2018