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Adam B. Yedidia

5 accepted papers

2019

Near-optimal Coded Apertures for Imaging via Nazarov's Theorem

ICASSP 2019accepted

We characterize the fundamental limits of coded aperture imaging systems up to universal constants by drawing upon a theorem of Nazarov regarding Fourier transforms. Our work is performed under a simple propagation and sensor model that accounts for thermal and shot noise, scene correlation, and exp…

Cited by 0SourceScholar
2019

Using Unknown Occluders to Recover Hidden Scenes

CVPR 2019poster

We consider the challenging problem of inferring a hidden moving scene from faint shadows cast on a diffuse surface. Recent work in passive non-line-of-sight (NLoS) imaging has shown that the presence of occluding objects in between the scene and the diffuse surface significantly improves the condit…

Cited by 88PDFScholar
2018

Analysis and Optimization of Aperture Design in Computational Imaging

ICASSP 2018accepted

There is growing interest in the use of coded aperture imaging systems for a variety of applications. Using an analysis framework based on mutual information, we examine the fundamental limits of such systems-and the associated optimum aperture coding-under simple but meaningful propagation and sens…

Cited by 0SourceScholar
2018

Inferring Light Fields From Shadows

CVPR 2018poster

We present a method for inferring a 4D light field of a hidden scene from 2D shadows cast by a known occluder on a diffuse wall. We do this by determining how light naturally reflected off surfaces in the hidden scene interacts with the occluder. By modeling the light transport as a linear system, a…

2017

Turning Corners Into Cameras: Principles and Methods

ICCV 2017spotlight

We show that walls and other obstructions with edges can be exploited as naturally-occurring "cameras" that reveal the hidden scenes beyond them. In particular, we demonstrate methods for using the subtle spatio-temporal radiance variations that arise on the ground at the base of edges to construct…

Cited by 156PDFScholar