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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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  2. Publications
  3. Real-Time Pixel Luminance Optimization for Dynamic Multi-Projection Mapping

Real-Time Pixel Luminance Optimization for Dynamic Multi-Projection Mapping

In page navigation: Publications
  • Adaptive stray-light compensation in dynamic multi-projection mapping
  • Adaptive Temporal Sampling for Volumetric Path Tracing of Medical Data
  • Analytic Displacement Mapping using Hardware Tessellation
  • Anisotropic Surface Based Deformation
  • Auto-Calibration for Dynamic Multi-Projection Mapping on Arbitrary Surfaces
  • Automated Heart Localization in Cardiac Cine MR Data
  • Demo of Face2Face: Real-time Face Capture and Reenactment of RGB Videos
  • Enhanced Sphere Tracing
  • Evaluating the Usability of Recent Consumer-Grade 3D Input Devices
  • Face2Face: Real-time Face Capture and Reenactment of RGB Videos
  • FaceForge: Markerless Non-Rigid Face Multi-Projection Mapping
  • FaceInCar: Real-time Dense Monocular Face Tracking of a Driver
  • FaceVR: Real-Time Facial Reenactment and Eye Gaze Control in Virtual Reality
  • GroPBS: Fast Solver for Implicit Electrostatics of Biomolecules
  • Grundsätzliche Überlegungen zur Edition des Bestandes an Münzen der FAU als frei zugängliche Datenbank im WWW
  • HeadOn: Real-time Reenactment of Human Portrait Videos
  • Hierarchical Multi-Layer Screen-Space Ray Tracing
  • Hybrid Mono-Stereo Rendering in Virtual Reality
  • Interactive Model-based Reconstruction of the Human Head using an RGB-D Sensor
  • Interactive Painting and Lighting in Dynamic Multi-Projection Mapping
  • Learning Real-Time Ambient Occlusion from Distance Representations
  • Low-Cost Real-Time 3D Reconstruction of Large-Scale Excavation Sites using an RGB-D Camera
  • Multi-Layer Depth of Field Rendering with Tiled Splatting
  • Multi-Resolution Attributes for Hardware Tessellated Objects
  • Real-time 3D Reconstruction at Scale using Voxel Hashing
  • Real-time Collision Detection for Dynamic Hardware Tessellated Objects
  • Real-time Expression Transfer for Facial Reenactment
  • Real-time Local Displacement using Dynamic GPU Memory Management
  • Real-Time Pixel Luminance Optimization for Dynamic Multi-Projection Mapping
  • Reality Forge: Interactive Dynamic Multi-Projection Mapping
  • Robust Blending and Occlusion Compensation in Dynamic Multi-Projection Mapping
  • Shape Adaptive Cut Lines
  • Spherical Fibonacci Mapping
  • State of the Art Report on Real-time Rendering with Hardware Tessellation
  • Stray-Light Compensation in Dynamic Projection Mapping
  • Visualization and Deformation Techniques for Entertainment and Training in Cultural Heritage
  • VolumeDeform: Real-time Volumetric Non-rigid Reconstruction

Real-Time Pixel Luminance Optimization for Dynamic Multi-Projection Mapping

  • Siegl C., Colaianni M., Thies LT., Thies J., Zollhöfer M., Izadi S., Stamminger M., Bauer F.:
    Real-time Pixel Luminance Optimization for Dynamic Multi-projection Mapping
    In: Acm Transactions on Graphics 34 (2015), p. 237:1--237:11
    ISSN: 0730-0301
    DOI: 10.1145/2816795.2818111
    URL: http://doi.acm.org/10.1145/2816795.2818111
    BibTeX: Download

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Using projection mapping enables us to bring virtual worlds into shared physical spaces. In this paper, we present a novel, adaptable and real-time projection mapping system, which supports multiple projectors and high quality rendering of dynamic content on surfaces of complex geometrical shape. Our system allows for smooth blending across multiple projectors using a new optimization framework that simulates the diffuse direct light transport of the physical world to continuously adapt the color output of each projector pixel. We present a real-time solution to this optimization problem using off-the-shelf graphics hardware, depth cameras and projectors. Our approach enables us to move projectors, depth camera or objects while maintaining the correct illumination, in realtime, without the need for markers on the object. It also allows for projectors to be removed or dynamically added, and provides compelling results with only commodity hardware.

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Chair of Visual Computing
(Lehrstuhl für Graphische Datenverarbeitung)

Cauerstraße 11
91058 Erlangen
Deutschland
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