Concept

Rendu physique réaliste

Publications associées (141)

Bio-physically plausible visualization of highly scattering fluorescent neocortical models for in silico experimentation

Henry Markram, Felix Schürmann, Marwan Muhammad Ahmed Abdellah, Julian Charles Shillcock, Stefan Eilemann, Ahmet Bilgili

Background: We present a visualization pipeline capable of accurate rendering of highly scattering fluorescent neocortical neuronal models. The pipeline is mainly developed to serve the computational neurobiology community. It allows the scientists to visu ...

2017

Impact of interactivity on the assessment of quality of experience for light field content

Touradj Ebrahimi, Martin Rerabek, Irene Viola

The recent advances in light field imaging are changing the way in which visual content is captured, processed and consumed. Storage and delivery systems for light field images rely on efficient compression algorithms. Such algorithms must additionally tak ...

2017

Graph-Based Interpolation for Zooming in 3D Scenes

Pascal Frossard, Pinar Akyazi

In multiview systems, color plus depth format builds 3D representations of scenes within which the users can freely navigate by changing their viewpoints. In this paper we present a framework for view synthesis when the user requests an arbitrary viewpoint ...

2017

Annual glare evaluation for fabrics

Marilyne Andersen, Jan Wienold

Although fabrics are widely used as shading devices, reliable simulation models are rather rare and therefore the choice of a fabric with appropriate material characteristics is difficult. This paper presents a simulation model, which can be applied to mos ...

2017

Graph-Based Light Field Super-Resolution

Pascal Frossard, Mattia Rossi

Light field cameras can capture the 3D information in a scene with a single exposure. This special feature makes light field cameras very appealing for a variety of applications: from post capture refocus, to depth estimation and image-based rendering. How ...

2017

Sparse Gradient Optimization and its Applications in Image Processing

Nikolaos Arvanitopoulos Darginis

Millions of digital images are captured by imaging devices on a daily basis. The way imaging devices operate follows an integral process from which the information of the original scene needs to be estimated. The estimation is done by inverting the integra ...

EPFL2017

3D Solid Texture Classification Using Locally-Oriented Wavelet Transforms

Adrien Raphaël Depeursinge

Many image acquisition techniques used in biomedical imaging, material analysis, and structural geology are capable of acquiring 3D solid images. Computational analysis of these images is complex but necessary, since it is difficult for humans to visualize ...

IEEE2017

Learning Lightprobes for Mixed Reality Illumination

Pascal Fua, Vincent Lepetit, Kwang Moo Yi

This paper presents the first photometric registration pipeline for Mixed Reality based on high quality illumination estimation by convolutional neural network (CNN) methods. For easy adaptation and deployment of the system, we train the CNN using purely s ...

2017

Image Based Relighting of Cultural Artifacts

Niranjan Thanikachalam

By incorporating computational methods into the image acquisition pipeline, computational photography has opened up new avenues in the representation and visualization of real world objects in the digital world. For example, we can sample a scene under a f ...

EPFL2016

Immersive scenes with Radiance in a Virtual Reality Headset: comparison of virtual and real environments

Marilyne Andersen, Jan Wienold, Kynthia Chamilothori

This presentation introduced a novel method for creating immersive scenes for Virtual Reality based on physically-based renderings and discussed the potential and limitation of this method. ...

2016

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search