CALL for SHORT PAPERS
Chair: Benjamin DUCKE, German Archaeological Institute, Germany
Description of the round table: Structure from Motion (SfM) and Multi-View Stereo (MVS) are applied research areas of Computer Vision (CV) that have revolutionized the way archaeologists, heritage professionals and scholars design and practice 3D data acquisition, modelling and publication.
With image-based technologies, full 3D capturing and publication has become available at an unprecedented level of flexibility and versatility. But the image-based approach also comes with its own set of significant challenges, such as incomplete reconstructions, unsuitable input images and bottlenecks in processing resources (CPU time, memory, storage space, online bandwidths). As software, hardware and acquisition practice evolve, these issues are being addressed in incremental steps of Innovation.
This round table aims to provide an interactive environment in which participants can show-case and discuss problem solutions and innovative workflows that aim to improve current practice and output data Quality.
We invite contributions (technical case studies, project reports, software, etc.) that address some of the many technological issues in and around the area of SfM/MVS, such as:
- Camera calibration, extreme optics and environmental condititions.
- Image preprocessing and enhancement tools for better visual quality.
- Robust and geometrically accurate 3D surface reconstruction (“meshing”).
- Fast and reliable image matching for very large image series.
- Feature detection in low-contrast and weakly textured images.
- Flexible processing pipelines for automated 3D reconstruction.
- New developments in free and open source software for 3D processing.
- Computational efficiency and concurrent processing (multi-core CPU and GPU utilization).
- Advances in hardware for 3D data acquisition.
- Open file formats, metadata and semantic data structures for publication and re-use.
- Online platforms for open access 3D data publication and archiving.
Target audience: This round table’s target group are researchers and practitioners that wish to learn about the full potential of image-based reconstruction, and to find and share solutions for specific technological issues.
Submit your abstract via online form!