D
Dongeek Shin
Researcher at Google
Publications - 33
Citations - 1280
Dongeek Shin is an academic researcher from Google. The author has contributed to research in topics: Pixel & Shot noise. The author has an hindex of 13, co-authored 33 publications receiving 1010 citations. Previous affiliations of Dongeek Shin include Massachusetts Institute of Technology.
Papers
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Journal ArticleDOI
First-Photon Imaging
Ahmed Kirmani,Dheera Venkatraman,Dongeek Shin,Andrea Colaco,Franco N. C. Wong,Jeffrey H. Shapiro,Vivek K Goyal,Vivek K Goyal +7 more
TL;DR: First-photon imaging is introduced, which is a computational imager that exploits spatial correlations found in real-world scenes and the physics of low-flux measurements, and recovers 3D structure and reflectivity from the first detected photon at each pixel.
Journal ArticleDOI
Photon-efficient imaging with a single-photon camera
Dongeek Shin,Feihu Xu,Dheera Venkatraman,Rudi Lussana,Federica Villa,Franco Zappa,Vivek K Goyal,Franco N. C. Wong,Jeffrey H. Shapiro +8 more
TL;DR: An array-specific algorithm is developed that converts coarsely time-binned photon detections to highly accurate scene depth and reflectivity by exploiting both the transverse smoothness and longitudinal sparsity of natural scenes and uniquely achieves high photon efficiency in a relatively short acquisition time.
Journal ArticleDOI
Photon-Efficient Computational 3-D and Reflectivity Imaging With Single-Photon Detectors
TL;DR: A robust method for estimating depth and reflectivity using fixed dwell time per pixel and on the order of one detected photon per pixel averaged over the scene, which increases photon efficiency 100-fold over traditional processing and also improves, somewhat, upon first-photon imaging under a total acquisition time constraint in raster-scanned operation.
Journal Article
Photon-efficient imaging with a single-photon camera
Dongeek Shin,Dheera Venkatraman,Rudi Lussana,Federica Villa,Franco Zappa,Vivek K Goyal,Feihu Xu,N.C. Wong,Jeffrey H. Shapiro +8 more
TL;DR: In this article, an array-specific algorithm was developed to convert coarsely time-binned photon detections to highly accurate scene depth and reflectivity by exploiting both the transverse smoothness and longitudinal sparsity of natural scenes.
Posted Content
Photon-Efficient Computational 3D and Reflectivity Imaging with Single-Photon Detectors
TL;DR: In this paper, the spatial correlations present in real-world reflectivity and 3D structure are exploited to estimate depth and reflectivity using on the order of 1 detected photon per pixel averaged over the scene.