A
Anat Levin
Researcher at Technion – Israel Institute of Technology
Publications - 107
Citations - 14409
Anat Levin is an academic researcher from Technion – Israel Institute of Technology. The author has contributed to research in topics: Speckle pattern & Scattering. The author has an hindex of 42, co-authored 91 publications receiving 12993 citations. Previous affiliations of Anat Levin include Stanford University & Hebrew University of Jerusalem.
Papers
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Journal ArticleDOI
Inverse volume rendering with material dictionaries
TL;DR: This work introduces an optimization framework for measuring bulk scattering properties of homogeneous materials (phase function, scattering coefficient, and absorption coefficient) that is more accurate, and more applicable to a broad range of materials.
Journal ArticleDOI
4D frequency analysis of computational cameras for depth of field extension
TL;DR: The lattice-focal lens as mentioned in this paper focuses energy at the low-dimensional focal manifold and achieves a higher power spectrum than previous designs in the 4D light field space and shows that in the frequency domain, only a lowdimensional 3D manifold contributes to focus, and imaging systems should concentrate their limited energy on this manifold.
Journal ArticleDOI
Learning to Combine Bottom-Up and Top-Down Segmentation
Anat Levin,Yair Weiss +1 more
TL;DR: Whereas pure top-down algorithms often require hundreds of fragments, this simultaneous learning procedure yields algorithms with a handful of fragments that are combined with low-level cues to efficiently compute high quality segmentations.
Proceedings Article
Learning to Perceive Transparency from the Statistics of Natural Scenes
TL;DR: It is suggested that transparency is the rational percept of a system that is adapted to the statistics of natural scenes, and a probabilistic model of images based on the qualitative statistics of derivative filters and "corner detectors" in natural scenes is presented.
Book ChapterDOI
Understanding Camera Trade-Offs through a Bayesian Analysis of Light Field Projections
TL;DR: A unified framework for analyzing computational imaging approaches and compares the performance of various camera designs using 2D light field simulations to better understand the tradeoffs of each camera type and analyze their limitations.