Light Fields

Technical Papers

Light Fields

Thursday, 13 August 3:45 PM - 5:35 PM | Los Angeles Convention Center, Room 150/151 Session Chair: Gordon Wetzstein, Stanford University


Linear Volumetric Focus for Light-Field Cameras

A linear light-field filter for focusing on a selectable volume. The filter rejects noise and interference, enhancing imagery in low light and through silty and murky water.

Donald Dansereau
Queensland University of Technology

Oscar Pizarro
University of Sydney

Stefan B. Williams
University of Sydney

A Light Transport Framework for Lenslet Light-Field Cameras

This paper proposes a light transport framework for understanding the fundamental limits of light-field camera resolution. The proposed method can model all existing lenslet-based light-field cameras and allows unified comparison of simulation, independent of the practical differences between particular prototypes.

Chia-Kai Liang
Lytro, Inc.

Ravi Ramamoorthi
University of California, San Diego

Improving Light Field Camera Sample Design With Irregularity and Aberration

A technique for improving light field camera design with main lens aberrations and microlens-sensor sample irregularities, attributes considered undesirable for traditional cameras. The design is evaluated via simulation and a real prototype.

Li-Yi Wei
Dragoniac, The University of Hong Kong, Lytro, Inc.

Chia-Kai Liang
Lytro, Inc.

Graham Myhre
Lytro, Inc.

Colvin Pitts
Lytro, Inc.

Kurt Akeley
Lytro, Inc.

Light-Field Reconstruction Using Sparsity in the Continuous Fourier Domain

An approach to light-field reconstruction that reduces sampling requirements and improves reconstruction quality by optimizing for sparsity in the continuous Fourier spectrum.

Lixin Shi
Massachusetts Institute of Technology

Haitham Hassanieh
Massachusetts Institute of Technology

Abe Davis
Massachusetts Institute of Technology

Dina Katabi
Massachusetts Institute of Technology

Frédo Durand
Massachusetts Institute of Technology

Layered Light-Field Reconstruction for Defocus Blur

This paper introduces a novel algorithm for reconstructing high-quality defocus blur from a sparsely sampled light field. The method builds upon recent developments in the area of sheared reconstruction filters and significantly improves reconstruction quality and performance.

Karthik Vaidyanathan
Intel Corporation

Jacob Munkberg
Intel Corporation

Petrik Clarberg
Intel Corporation

Marco Salvi
Intel Corporation