FROST

The goal of FROST: FROxel-based Semantic Processing Techniques, is to demonstrate the advantages of a light field native data representation. Unlike approaches such as MPEG-MIV and JPEG-PLENO, which rely on traditional image processing techniques like atlases and warping, FROST utilizes the native resolution of the light field camera in all dimensions (spatial and temporal) by working at a ray level. Although this is similar to approaches like Neural Radiance Fields (NeRFs), FROST is unique in that it does not require per-scene training, as it remains a traditional (non-neural) processing technique. As such, it aims to bridge the gap between conventional representation and the emerging neural representation by leveraging knowledge about the sampling patterns of light field arrays. For more Information please contact Robin Kremer.