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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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  4. Robust marker-based projector-camera synchronization

Robust marker-based projector-camera synchronization

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

Robust marker-based projector-camera synchronization

Vanessa Klein (ehemals Lange)

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

Paper (Open Access)

  • Klein V., Edel M., Stamminger M., Bauer F.:
    Robust marker-based projector-camera synchronization
    In: Graphics and Visual Computing (2021), p. 200034
    ISSN: 2666-6294
    DOI: 10.1016/j.gvc.2021.200034
    BibTeX: Download

Abstract

Recording clean pictures of projected images requires the projector and camera to be synchronized. This task usually requires additional hardware or imposes major restrictions on the devices with software-based approaches, e.g., a specific frame rate of the camera. We present a novel software-based synchronization technique that supports projectors and cameras with different frame rates and at the same time tolerates camera frame drops. We focus on the special needs of LCD projectors and the effect of their liquid crystal response time on the projected image. By relying on visible marker detection we entirely refrain from taking time measurements, allowing for a robust and fast synchronization.

Chair of Visual Computing
(Lehrstuhl für Graphische Datenverarbeitung)

Cauerstraße 11
91058 Erlangen
Deutschland
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