L
Lode Jorissen
Researcher at University of Hasselt
Publications - 16
Citations - 99
Lode Jorissen is an academic researcher from University of Hasselt. The author has contributed to research in topics: Stereo display & Holography. The author has an hindex of 5, co-authored 15 publications receiving 85 citations.
Papers
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Journal ArticleDOI
Digitally designed holographic optical element for light field displays.
Boaz Jessie Jackin,Lode Jorissen,Ryutaro Oi,Jui-Yi Wu,Koki Wakunami,Makoto Okui,Yasuyuki Ichihashi,Philippe Bekaert,Yi-Pai Huang,Kenji Yamamoto +9 more
TL;DR: This Letter proposes a solution to the above issue by introducing a new method to fabricate holographic concave micro-mirror array sheets and explains how they work in detail.
Journal ArticleDOI
New visual coding exploration in MPEG: Super-multiview and free navigation in free viewpoint TV
Gauthier Lafruit,Marek Domanski,Krzysztof Wegner,Tomasz Grajek,Takanori Senoh,Joel Jung,Péter Tamás Kovács,Patrik Goorts,Lode Jorissen,Adrian Munteanu,Beerend Ceulemans,Pablo Carballeira,Sergio García,Masayuki Tanimoto +13 more
TL;DR: In view of supporting future highquality, auto-stereoscopic 3D displays and Free Navigation virtual/augmented reality applications with sparse, arbitrarily arranged camera setups, innovative depth estimation and virtual view synthesis techniques with global optimizations over all camera views should be developed.
Proceedings ArticleDOI
Multi-camera epipolar plane image feature detection for robust view synthesis
TL;DR: A novel, fully automatic method to obtain accurate view synthesis for soccer games that solely relies on feature detection and utilizes the structures visible in a 3D light field to limit the search range of traditional view synthesis methods.
Book ChapterDOI
Interactive Augmented Omnidirectional Video with Realistic Lighting
TL;DR: This paper demonstrates an application in which a computer generated vehicle can be controlled through an urban environment and is capable of evaluating the rendering equation in real-time, by using the captured omnidirectional video as a lighting environment.
Book ChapterDOI
Robust Global Tracking Using a Seamless Structured Pattern of Dots
TL;DR: A novel optical tracking approach to accurately estimate the pose of a camera in large scene augmented reality (AR) using projective invariants to estimate the global position of the features and exploit temporal coherence using optical flow.