@inbook{1511d523edac4cc7a8c27579d95850b9,
title = "Neural cameras: Learning camera characteristics for coherent mixed reality rendering",
abstract = "Coherent rendering is important for generating plausible Mixed Reality presentations of virtual objects within a user{\textquoteright}s real-world environment. Besides photo-realistic rendering and correct lighting, visual coherence requires simulating the imaging system that is used to capture the real environment. While existing approaches either focus on a specific camera or a specific component of the imaging system, we introduce Neural Cameras, the first approach that jointly simulates all major components of an arbitrary modern camera using neural networks. Our system allows for adding new cameras to the framework by learning the visual properties from a database of images that has been captured using the physical camera. We present qualitative and quantitative results and discuss future direction for research that emerge from using Neural Cameras.",
keywords = "Camera Characteristics, virtual objects, photo-realistic rendering, Neural Cameras",
author = "David Mandl and Peter Mohr and Tobias Langlotz and Christoph Ebner and Shohei Mori and Stefanie Zollmann and Roth, {Peter M.} and Denis Kalkofen",
year = "2021",
doi = "10.1109/ISMAR52148.2021.00068",
language = "English",
series = "International Symposium on Mixed and Augmented Reality (ISMAR). Proceedings",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "508--516",
editor = "Maud Marchal and Jonathan Ventura and Anne-Helene Olivier and Lili Wang and Rafael Radkowski",
booktitle = "2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)",
address = "United States",
note = "20th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2021 ; Conference date: 04-10-2021 Through 08-10-2021",
}