IDLab-MEDIA

Julie Artois - PhD Student

Julie Artois - PhD Student

Julie Artois

PhD Student

Julie is a PhD student at IDLAB-MEDIA. After receiving the MSc Of Science in Computer Science Engineering, she started a doctorate in 2020, with funding from the Research Foundation - Flanders (FWO).

Her research interests lay in the fields of computer graphics and immersive multimedia. The topic of her PhD consists of enabling viewers to explore six-degrees-of-freedom content with the help of virtual/mixed reality. With a focus on image-based rendering, she studies techniques to increase the level of photorealism and freedom of movement within the 3D content. She also creates datasets of immersive content, either through 3D modelling or the capturing of real-world settings with multi-camera setups.


Authored posts

IEEE GEM 24 - Extended Reality and Virtual Reality for Return-to-Sports Screening

IEEE GEM 24 - Extended Reality and Virtual Reality for Return-to-Sports Screening

Exploration of the potential benefits Extended Reality and Virtual Reality technologies in enhancing movement quality during Return-to-Sport (RTS) assessments post Anterior Cruciate Ligament (ACL) reconstruction.

OpenDIBR - Open Real-Time Depth-Image-Based renderer of light field videos for VR Featured

OpenDIBR - Open Real-Time Depth-Image-Based renderer of light field videos for VR

OpenDIBR is an openly-available wide-base ligth field renderer geared towards real-time display of multi-camera images/videos, even in Virtual Reality.

Multi-camera setup on a roll

Multi-camera setup on a roll

Our camera setup consisting of 56 PiCameras is ready to bring new wide-baseline light field video datasets to the world.

VENTOUX - Video Enrichment to Optimize User Experience of Cycling Race Broadcasts

VENTOUX - Video Enrichment to Optimize User Experience of Cycling Race Broadcasts

Video enrichment of cycling races

IEEE ICCE - 360DIV - 360° Video Plus Depth for Fully Immersive VR Experiences

IEEE ICCE - 360DIV - 360° Video Plus Depth for Fully Immersive VR Experiences

Our paper titled "360° Video Plus Depth for Fully Immersive VR Experiences" was accepted at the IEEE International Conference on Consumer Electronics (ICCE) 2023.

IEEE ICCE - Head Movement Modeling for Immersive Visualization in VR

IEEE ICCE - Head Movement Modeling for Immersive Visualization in VR

Head Movement Modeling for Immersive Visualization in VR accepted at the IEEE International Conference on Consumer Electronics (ICCE) 2023.

ACM MMSys 2022 Best Open Dataset and Software Paper for SILVR

ACM MMSys 2022 Best Open Dataset and Software Paper for SILVR

We're happy and honored to announce that our immersive plenoptic dataset paper "SILVR - A Synthetic Immersive Large-Volume Plenoptic Dataset" has been rewarded with the ACM MMSys 2022 Best Open Dataset and Software Paper.

SILVR - A Synthetic Immersive Large-Volume Plenoptic Dataset Featured

SILVR - A Synthetic Immersive Large-Volume Plenoptic Dataset

SILVR, a dataset of light field images for six-degrees-of-freedom navigation in large fully-immersive volumes. The SILVR dataset is short for Synthetic Immersive Large-Volume Ray dataset.

PLENOPTIMA - Plenoptic Imaging

PLENOPTIMA - Plenoptic Imaging

PLENOPTIMA - Plenoptic Imaging - a cross-disciplinary approach to plenoptic imaging, including new optical materials and sensing principles, signal processing methods, new computing architectures, and vision science modelling.