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Sascha Fricke

dblp:236/5231 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2025
0000-0002-9467-5070ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Image and video coding · 50% Virtual and augmented reality · 50%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding › immersive video coding
360-degree video coding
0.712023
Wavelet-Based Fast Decoding of 360° Videos · IEEE Trans. Vis. Comput. Graph. 2023

Methods — techniques the papers use, named apart from their topics

wavelet transform · 0.7foveation · 0.7
YearPublicationVenuePosition
2025 Real-Time Rendering Framework for Holography
abstract
Abstract With the advent of holographic near‐eye displays, the need for rendering algorithms that output holograms instead of color images emerged. These holograms usually encode phase maps that alter the phase of coherent light sources such that images result from diffraction effects. While common approaches rely on translating the output of traditional rendering systems to holograms in a post processing step, we instead developed a rendering system that can directly output a phase map to a Spatial Light Modulator (SLM). Our hardware‐ray‐traced sparse point distribution, and depth mapping enable rapid hologram generation, allowing for high‐quality time‐multiplexed holography for real‐time content. Additionally, our system is compatible with foveated rendering which enables further performance optimizations.
Sascha Fricke, Susana Castillo 0001, Martin Eisemann, Marcus A. Magnor
Comput. Graph. Forum1
2023 Wavelet-Based Fast Decoding of 360° Videos
abstract
In this paper, we propose a wavelet-based video codec specifically designed for VR displays that enables real-time playback of high-resolution 360° videos. Our codec exploits the fact that only a fraction of the full 360° video frame is visible on the display at any time. To load and decode the video viewport-dependently in real time, we make use of the wavelet transform for intra- as well as inter-frame coding. Thereby, the relevant content is directly streamed from the drive, without the need to hold the entire frames in memory. With an average of 193 frames per second at 8192 × 8192 -pixel full-frame resolution, the conducted evaluation demonstrates that our codec's decoding performance is up to 272% higher than that of the state-of-the-art video codecs H.265 and AV1 for typical VR displays. By means of a perceptual study, we further illustrate the necessity of high frame rates for a better VR experience. Finally, we demonstrate how our wavelet-based codec can also directly be used in conjunction with foveation for further performance increase.
Colin Groth, Sascha Fricke, Susana Castillo 0001, Marcus A. Magnor
IEEE Trans. Vis. Comput. Graph.2