David B. Lindell
Stanford University, Stanford Medicine, University of Toronto
Papers
8
Total Citations
1,037
H-Index
6
About
David B. Lindell is a leading researcher in computational imaging, with a primary focus on non-line-of-sight (NLOS) imaging and advanced 3D sensing. His seminal work on "Confocal non-line-of-sight imaging based on the light-cone transform" (492 citations) revolutionized the field by enabling efficient reconstruction of hidden scenes, while his "Wave-based non-line-of-sight imaging using fast f-k migration" (257 citations) introduced powerful signal processing techniques to overcome fundamental limitations in seeing around corners. Lindell has also made pioneering contributions to imaging through scattering media, developing confocal diffuse tomography (124 citations) that enables 3D imaging through fog and other obscurants. His innovative "Acoustic Non-Line-Of-Sight Imaging" (102 citations) extended NLOS capabilities to the acoustic domain, opening new possibilities for robotic perception. More recently, Lindell has explored keyhole imaging for tracking moving objects along single optical paths and developed neural radiance fields for lidar view synthesis. His work has garnered over 1,000 citations, establishing him as a transformative figure in computational optics whose algorithms are shaping the future of autonomous navigation, remote sensing, and robotic vision.
Research Focus
Key Achievements
Top Papers
- 1Confocal non-line-of-sight imaging based on the light-cone transform492 citations · 2018
- 2Wave-based non-line-of-sight imaging using fast <i>f-k</i> migration257 citations · 2019
- 3
- 4Acoustic Non-Line-Of-Sight Imaging102 citations · 2019
- 5
- 6MoSS: Monocular Shape Sensing for Continuum Robots14 citations · 2023
- 7Sub-picosecond photon-efficient 3D imaging using single-photon sensors4 citations · 2018
- 8