Concept

Light field

Publications associées (66)

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Advancing Self-Supervised Deep Learning for 3D Scene Understanding

Seyed Mohammad Mahdi Johari

Recent advancements in deep learning have revolutionized 3D computer vision, enabling the extraction of intricate 3D information from 2D images and video sequences. This thesis explores the application of deep learning in three crucial challenges of 3D com ...

EPFL2024

Volumetric additive manufacturing in a scattering resin

Jorge Andres Madrid Wolff

Volumetric 3D printing is a novel technique that offers promising new perspectives in tissue engineering. In volumetric 3D printing, photosensitive gels or liquids are solidified by projecting light patterns via reverse tomography. Recent results show that ...

EPFL2023

Correlated-photon imaging at 10 volumetric images per second

Edoardo Charbon, Claudio Bruschini, Paul Mos, Arin Can Ülkü

The correlation properties of light provide an outstanding tool to overcome the limitations of traditional imaging techniques. A relevant case is represented by correlation plenoptic imaging (CPI), a quantum-inspired volumetric imaging protocol employing s ...

NATURE PORTFOLIO2023

Automated droplet manipulation in microfluidic systems

Christoph Merten, Jatin Panwar

Disclosed herein is a method of operating a microfluidic system, a microfluidic system for manipulating sample objects, and a control system for operating a microfluidic system. The method according to the invention is for operating a microfluidic system t ...

2023

Optical Diffraction Tomography Using Nearly In-Line Holography with a Broadband LED Source

Demetri Psaltis, Abhijit Roy, Ahmed Ayoub

We present optical tomography methods for a 3D refractive index reconstruction of weakly scattering objects using LED light sources. We are able to record holograms by minimizing the optical path difference between the signal and reference beams while sepa ...

MDPI2022

Scene Decomposition and Relighting from Image Collections in Neural Rendering

Dongqing Wang

The focus of our research is to generate controllable photo-realistic images of real-world scenes from existing observations, i.e., the inverse rendering problem. The approaches we focus on are those through neural rendering, utilizing neural network to de ...

2022

Landmarking for Navigational Streaming of Stored High-Dimensional Media

Pascal Frossard, Yuan Yuan

Modern media data such as 360 degrees videos and light field (LF) images are typically captured in much higher dimensions than the observers' visual displays. To efficiently browse high-dimensional media, a navigational streaming model is considered: a cli ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

GeoNeRF: Generalizing NeRF with Geometry Priors

François Fleuret

We present GeoNeRF, a generalizable photorealistic novel view synthesis method based on neural radiance fields. Our approach consists of two main stages: a geometry reasoner and a renderer. To render a novel view, the geometry reasoner first constructs cas ...

IEEE COMPUTER SOC2022

Towards Quantum 3D Imaging Devices

Edoardo Charbon, Claudio Bruschini, Paul Mos, Samuel Burri, Arin Can Ülkü, Michael Alan Wayne

We review the advancement of the research toward the design and implementation of quantum plenoptic cameras, radically novel 3D imaging devices that exploit both momentum–position entanglement and photon–number correlations to provide the typical refocusin ...

2021

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Optical retrieval of the structure of transparent objects at the nano-scale requires adapted methods capable of probing their interaction with suitable light. Scattering events, for instance, depend on the content and the arrangement of the medium encounte ...

SPIE-INT SOC OPTICAL ENGINEERING2021