OpenDIBR is an openly-available wide-base ligth field renderer geared towards real-time display of multi-camera images/videos, even in Virtual Reality.
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.
Video enrichment of cycling races
Our paper titled "360° Video Plus Depth for Fully Immersive VR Experiences" was accepted at the IEEE International Conference on Consumer Electronics (ICCE) 2023.
Head Movement Modeling for Immersive Visualization in VR accepted at the IEEE International Conference on Consumer Electronics (ICCE) 2023.
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 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.