Publications associées à Appareil photographique plénoptique

Towards learning-based denoising of light fields

Touradj Ebrahimi, Michela Testolina, Tomás Soares De Carvalho Feith

In recent years, new emerging immersive imaging modalities, e.g. light fields, have been receiving growing attention, becoming increasingly widespread over the years. Light fields are often captured through multi-camera arrays or plenoptic cameras, with th ...

2023

Thermally reconfigurable metalens

Giulia Tagliabue, Fateme Kiani Shahvandi, Anna Archetti, Theodoros Tsoulos, Nathanaël Restori, Ren-Jie Lin

Reconfigurable metalenses are compact optical components composed by arrays of meta-atoms that offer unique opportunities for advanced optical systems, from microscopy to augmented reality platforms. Although poorly explored in the context of reconfigurabl ...

WALTER DE GRUYTER GMBH2022

LenslessPiCam: A Hardware and Software Platform for Lensless Computational Imaging with a Raspberry Pi

Martin Vetterli, Eric Bezzam, Sepand Kashani, Matthieu Martin Jean-André Simeoni

Lensless imaging seeks to replace/remove the lens in a conventional imaging system. The earliest cameras were in fact lensless, relying on long exposure times to form images on the other end of a small aperture in a darkened room/container (camera obscura) ...

2022

Learning rich optical embeddings for privacy-preserving lensless image classification

Martin Vetterli, Eric Bezzam, Matthieu Martin Jean-André Simeoni

By replacing the lens with a thin optical element, lensless imaging enables new applications and solutions beyond those supported by traditional camera design and post-processing, e.g. compact and lightweight form factors and visual privacy. The latter ari ...

2022

Estimating Nonplanar Flow from 2D Motion-blurred Widefield Microscopy Images via Deep Learning

Michael Stefan Daniel Liebling, Adrian Shajkofci

Optical flow is a method aimed at predicting the movement velocity of any pixel in the image and is used in medicine and biology to estimate flow of particles in organs or organelles. However, a precise optical flow measurement requires images taken at hig ...

IEEE2021

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

Towards quantum 3D imaging devices

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

We introduce a new generation of 3D imaging devices based on quantum plenoptic imaging. Position-momentum entanglement and photon number correlations are exploited to provide a scan-free 3D image after post-processing of the collected light intensity signa ...

2021

LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals

Pascal Fua, Pavan P Ramdya, Adám Gosztolai, Victor Lobato Rios, Helge Jochen Rhodin, Semih Günel, Daniel Eduardo Morales Garza, Marco Pietro Abrate

LiftPose3D infers three-dimensional poses from two-dimensional data or from limited three-dimensional data. The approach is illustrated for videos of behaving Drosophila, mice, rats and macaques. Markerless three-dimensional (3D) pose estimation has become ...

NATURE PORTFOLIO2021

Virtual Landmark-Based Control of Docking Support for Assistive Mobility Devices

Diego Felipe Paez Granados, Chen Yang

This work proposes an autonomous docking control for nonholonomic constrained mobile robots and applies it to an intelligent mobility device or wheelchair for assisting the user in approaching resting furniture such as a chair or a bed. We defined a virtua ...

2021

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Appareil photographique plénoptique

Towards learning-based denoising of light fields

Learning for Multi-View Tracking

Thermally reconfigurable metalens

LenslessPiCam: A Hardware and Software Platform for Lensless Computational Imaging with a Raspberry Pi

Learning rich optical embeddings for privacy-preserving lensless image classification

Estimating Nonplanar Flow from 2D Motion-blurred Widefield Microscopy Images via Deep Learning

Towards Quantum 3D Imaging Devices

Towards quantum 3D imaging devices

LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals

Virtual Landmark-Based Control of Docking Support for Assistive Mobility Devices

Graph Chatbot

Chattez avec Graph Search

Estimating Nonplanar Flow from 2D Motion-blurred Widefield Microscopy Images via Deep Learning

Towards learning-based denoising of light fields

Learning rich optical embeddings for privacy-preserving lensless image classification

Virtual Landmark-Based Control of Docking Support for Assistive Mobility Devices

Towards Quantum 3D Imaging Devices

Towards quantum 3D imaging devices

Thermally reconfigurable metalens

Learning for Multi-View Tracking

LenslessPiCam: A Hardware and Software Platform for Lensless Computational Imaging with a Raspberry Pi

LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals