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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 0Source ↗Scholar ↗
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 68PDF ↗Scholar ↗
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 0Source ↗Scholar ↗
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 194PDF ↗Scholar ↗