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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 2021
  4. Scan&Paint: Image-based Projection Painting

Scan&Paint: Image-based Projection Painting

In page navigation: Publications
  • Publications 2020
  • Publications 2021
    • ADOP: Approximate Differentiable One-Pixel Point Rendering
    • Efficient Unbiased Volume Path Tracing on the GPU
    • Interactive Path Tracing and Reconstruction of Sparse Volumes
    • Projection Mapping for In-Situ Surgery Planning by the Example of DIEP Flap Breast Reconstruction
    • Robust marker-based projector-camera synchronization
    • Scan&Paint: Image-based Projection Painting
    • Spatio-temporal filtered motion DAGs for path-tracing
  • Publications 2022

Scan&Paint: Image-based Projection Painting

  • Klein V., Leuschner M., Langen T., Kurth P., Stamminger M., Bauer F.:
    Scan&Paint: Image-based Projection Painting
    2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) (Bari, October 4, 2021 - November 8, 2021)
    In: IEEE (ed.): 2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) 2021
    DOI: 10.1109/ISMAR52148.2021.00069
    URL: https://www.lgdv.tf.fau.de/?p=2253
    BibTeX: Download

Vanessa Klein

Dr.-Ing. Vanessa Klein

Department of Computer Science
Lehrstuhl für Informatik 15 (Digital Reality)

Room: Room 01.113-128
Cauerstraße 11
91058 Erlangen
  • Phone number: +49 9131 85-29927
  • Email: vanessa.klein@fau.de
  • Website: https://reality.tf.fau.de/staff/v.klein.html

We present a pop-up projection painting system that projects onto an unknown three-dimensional surface, while the user creates the projection content on the fly. The digital paint is projected immediately and follows the object if it is moved. If unexplored surface areas are thereby exposed, an automated trigger system issues new depth recordings that expand and refine the surface estimate. By intertwining scanning and projection painting we scan the exposed surface at the appropriate time and only if needed. Like image-based rendering, multiple automatically recorded depth maps are fused in screen space to synthesize novel views of the object, making projection poses independent from the scan positions. Since the user’s digital paint is also stored in images, we eliminate the need to reconstruct and parametrize a single full mesh, which makes geometry and color updates simple and fast.

Chair of Visual Computing
(Lehrstuhl für Graphische Datenverarbeitung)

Cauerstraße 11
91058 Erlangen
Deutschland
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