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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. FaceForge: Markerless Non-Rigid Face Multi-Projection Mapping

FaceForge: Markerless Non-Rigid Face 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

FaceForge: Markerless Non-Rigid Face Multi-Projection Mapping

  • Siegl C., Lange V., Stamminger M., Bauer F., Thies J.:
    FaceForge: Markerless Non-Rigid Face Multi-Projection Mapping
    In: IEEE Transactions on Visualization and Computer Graphics PP (2017)
    ISSN: 1077-2626
    DOI: 10.1109/TVCG.2017.2734428
    BibTeX: Download

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Recent publications and art performances demonstrate amazing results using projection mapping. To our knowledge, there exists no multi-projection system that can project onto non-rigid target geometries. This constrains the applicability and quality for live performances with multiple spectators. Given the cost and complexity of current systems, we present a low-cost easy-to-use markerless non-rigid face multi-projection system. It is based on a non-rigid, dense face tracker and a real-time multi-projection solver adapted to imprecise tracking, geometry and calibration. Using this novel system we produce compelling results with only consumer-grade hardware.

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Chair of Visual Computing
(Lehrstuhl für Graphische Datenverarbeitung)

Cauerstraße 11
91058 Erlangen
Deutschland
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