Light field

Résumé

The light field is a vector function that describes the amount of light flowing in every direction through every point in space. The space of all possible light rays is given by the five-dimensional plenoptic function, and the magnitude of each ray is given by its radiance. Michael Faraday was the first to propose that light should be interpreted as a field, much like the magnetic fields on which he had been working. The phrase light field was coined by Andrey Gershun in a classic 1936 paper on the radiometric properties of light in three-dimensional space. Modern approaches to light-field display explore co-designs of optical elements and compressive computation to achieve higher resolutions, increased contrast, wider fields of view, and other benefits. The term “radiance field” may also be used to refer to similar concepts. The term is used in modern research such as neural radiance fields. The plenoptic function For geometric optics—i.e., to incoherent light and to ob

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https://en.wikipedia.org/wiki/Light_field

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With the development of quantum optics, photon correlations acquired a prominent role as a tool to test our understanding of physics, and played a key role in verifying the validity of quantum mechanics. The spatial and temporal correlations in a light field also reveal information about its origin, and allow us to probe the nature of the physical systems interacting with it. Additionally, with the advent of quantum technologies, they have acquired technological relevance, as they are expected to play an important role in quantum communication and quantum information processing.This thesis develops techniques that combine spontaneous Raman scattering with Time Correlated Single Photon Counting, and uses them to study the quantum mechanical nature of high frequency vibrations in crystals and molecules. We demonstrate photon bunching in the Stokes and anti-Stokes fields scattered from two ultrafast laser pulses, and use their cross-correlation to measure the 3.9 ps decay time of the optical phonon in diamond. We then employ this method to measure molecular vibrations in CS2, where we are able to excite the respective vibrational modes of the two isotopic species present in the sample in a coherent superposition, and observe quantum beating between the two signals. Stokes scattering, when combined with a projective measurement, leads to a well defined quantum state. We demonstrate this by measuring the second order correlation function of the anti-Stokes field conditional on detecting one or more photons in the Stokes field, which allows us to observe a phonon modeâs transition form a thermal state into the first excited Fock state, and measure its decay over the characteristic phonon lifetime. Finally, we use this technique to prepare a highly entangled photon-phonon state, which violates a Bell-type inequality. We measure S = 2.360 Â± 0.025, violating the CHSH inequality, compatible with the non-locality of the state.The techniques we developed open the door to the study of a broad range of physical systems, where spectroscopic information is obtained with the preparation of specific quantum states. They also hold potential for future technological use, and promote vibrational Raman scattering to a resource in nonlinear quantum optics -- where it used to be considered as a source of noise instead.

EPFL2021

Chargement

Compression and visual quality assessment for light field contents

Irene Viola

Since its invention in the 19th century, photography has allowed to create durable images of the world around us by capturing the intensity of light that flows through a scene, first analogically by using light-sensitive material, and then, with the advent of electronic image sensors, digitally. However, one main limitation of both analog and digital photography lays in its inability to capture any information about the direction of light rays. Through traditional photography, each three-dimensional scene is projected onto a 2D plane; consequently, no information about the position of the 3D objects in space is retained. Light field photography aims at overcoming these limitations by recording the direction of light along with its intensity. In the past, several acquisition technologies have been presented to properly capture light field information, and portable devices have been commercialized to the general public. However, a considerably larger volume of data is generated when compared to traditional photography. Thus, new solutions must be designed to face the challenges light field photography poses in terms of storage, representation, and visualization of the acquired data. In particular, new and efficient compression algorithms are needed to sensibly reduce the amount of data that needs to be stored and transmitted, while maintaining an adequate level of perceptual quality. In designing new solutions to address the unique challenges posed by light field photography, one cannot forgo the importance of having reliable, reproducible means of evaluating their performance, especially in relation to the scenario in which they will be consumed. To that end, subjective assessment of visual quality is of paramount importance to evaluate the impact of compression, representation, and rendering models on user experience. Yet, the standardized methodologies that are commonly used to evaluate the visual quality of traditional media content, such as images and videos, are not equipped to tackle the challenges posed by light field photography. New subjective methodologies must be tailored for the new possibilities this new type of imaging offers in terms of rendering and visual experience. In this work, we address the aforementioned problems by both designing new methodologies for visual quality evaluation of light field contents, and outlining a new compression solution to efficiently reduce the amount of data that needs to be transmitted and stored. We first analyse how traditional methodologies for subjective evaluation of multimedia contents can be adapted to suit light field data, and, we propose new methodologies to reliably assess the visual quality while maintaining user engagement. Furthermore, we study how user behavior is affected by the visual quality of the data. We employ subjective quality assessment to compare several state-of-the-art solutions in light field coding, in order to find the most promising approaches to minimize the volume of data without compromising on the perceptual quality. To that means, we define and inspect several coding approaches for light field compression, and we investigate the impact of color subsampling on the final rendered content. Lastly, we propose a new coding approach to perform light field compression, showing significant improvement with respect to the state of the art.

EPFL2019

Chargement

Sampling Models in Light Fields

Zhou Xue

What is the actual information contained in light rays filling the 3-D world? Leonardo da Vinci saw the world as an infinite number of radiant pyramids caused by the objects located in it. Nowadays, the radiant pyramid is usually described as a set of light rays with various directions passing through a given point. By recording light rays at every point in space, all the information in a scene can be fully acquired. This work focuses on the analysis of the sampling models of a light field camera, a device dedicated to recording the amount of light traveling through any point along any direction in the 3-D world. In contrast to the conventional photography which only records a 2-D projection of the scene, such camera captures both the geometry information and material properties of a scene by recording 2-D angular data for each point in a 2-D spatial domain. This 4-D data is referred to as the light field. The main goal of this thesis is to utilize this 4-D data from one or multiple light field cameras based on the proposed sampling models for recovering the given scene. We first propose a novel algorithm to recover the depth information from the light field. Based on the analysis of the sampling model, we map the high dimensional light field data to a low dimensional texture signal in the continuous domain modulated by the geometric structure of the scene. We formulate the depth estimation problem as a signal recovery problem with samples at unknown locations. A practical framework is proposed to recover alternately the texture signal and the depth map. We thus acquire not only the depth map with high accuracy but also a compact representation of the light field in the continuous domain. The proposed algorithm performs especially well for scenes with fine geometric structure while also achieving state-of-the-art performance on public data-sets. Secondly, we consider multiple light fields to increase the amount of information captured from the 3-D world. We derive a motion model of the light field camera from the proposed sampling model. Given this motion model, we can extend the field of view to create light field panoramas and perform light-field super-resolution. This can help overcome the shortcoming of limited sensor resolution in current light field cameras. Finally, we propose a novel image based rendering framework to represent light rays in the 3-D space: the circular light field. The circular light field is acquired by taking photos from a circular camera array facing outwards from the center of the rig. We propose a practical framework to capture, register and stitch multiple circular light fields. The information presented in multiple circular light fields allows the creation of any virtual camera view at any chosen location with a 360-degree field of view. The new representation of the light rays can be used to generate high quality contents for virtual reality and augmented reality.

EPFL2016

Chargement

EPFL2021

Compression and visual quality assessment for light field contents

Irene Viola

EPFL2019

Sampling Models in Light Fields

Zhou Xue

EPFL2016