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Chair of Visual Computing
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  1. Friedrich-Alexander-Universität
  2. Technische Fakultät
  3. Department Informatik

Chair of Visual Computing

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  • Research
    • Rendering and Visualization
    • Geometric Modeling and 3D Reconstruction
    • Virtual, Mixed, and Augmented Reality
    • Visual Computing for Digital Humanities and Social Sciences
    • Visual Healthcare Computing
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    • Vertiefungsrichtung Visual Computing
    • Summer Term 2025
    • Winter Term 2024/25
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  3. Publications 2020
  4. Real-Time Adaptive Color Correction in Dynamic Projection Mapping

Real-Time Adaptive Color Correction in Dynamic Projection Mapping

In page navigation: Publications
  • Publications 2020
    • BASH: Biomechanical Animated Skinned Human for Visualization of Kinematics and Muscle Activity
    • BRDF-Reconstruction in Photogrammetry Studio Setups
    • Learning Kinematic Machine Models from Videos for VR/AR Training
    • Neural Denoising for Path Tracing of Medical Volumetric Data
    • NRMVS: Non-Rigid Multi View Stereo
    • Proxy Painting
    • Real-Time Adaptive Color Correction in Dynamic Projection Mapping
    • Time‐Warped Foveated Rendering for Virtual Reality Headsets
  • Publications 2021
  • Publications 2022

Real-Time Adaptive Color Correction in Dynamic Projection Mapping

Philipp Kurth

Dr. Philipp Kurth, M. Sc.

Department of Computer Science
Chair of Computer Science 9 (Computer Graphics)

Room: Room 01.122-128
Cauerstraße 11
91058 Erlangen
  • Phone number: +49 9131 85-29928
  • Email: philipp.kurth@fau.de
  • Website: http://lgdv.cs.fau.de/people/card/philipp/kurth/

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Each week Tu, 14:00 - 15:00, nach Voranmeldung

  • Kurth P., Klein V., Stamminger M., Bauer F.:
    Real-Time Adaptive Color Correction in Dynamic Projection Mapping
    IEEE International Symposium on Mixed and Augmented Reality (ISMAR) (Recife, Brasilien, November 9, 2020 - November 13, 2020)
    In: IEEE (ed.): Proceedings of the IEEE International Symposium for Mixed and Augmented Reality 2020 2020
    DOI: 10.1109/ISMAR50242.2020.00039
    URL: https://www.lgdv.tf.fau.de/?p=1948
    BibTeX: Download

Projection mapping augments a real-world object’s appearance by projecting digital content on its surface. However, a remaining obstacle to immersive projection mapping is the limitation to white Lambertian surfaces and uniform neutral environment light, if any. Violating one of these assumptions results in a discernible difference between the source material and the appearance of the projected content. For example, some colors may not be visible due to intense environment lighting or pronounced surface colors. We present a system that actively subdues many of those real-world influences, especially environment lighting. Our system supports dynamic (i.e., movable) target objects as well as changing lighting conditions while requiring no prior color calibration of the projector nor any precomputed environment probing. We automatically and continuously estimate these influences during runtime in a real-time feedback-loop and adjust the projected colors accordingly.

Chair of Visual Computing
(Lehrstuhl für Graphische Datenverarbeitung)

Cauerstraße 11
91058 Erlangen
Deutschland
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