Point clouds captured from aerial and mobile mapping platforms are an important source of information in the geospatial domain. Ongoing research efforts on Multi-View-Stereo-Matching and LiDAR sensor technology provide data of remarkable accuracy, density and reliability. In addition to the provision of core geometric information, point clouds are the foundation of tasks like land use classification and 3D modelling.
Also triggered by the recent developments in the field of geometric Deep Learning, the automatic interpretation of unordered point sets to generate high-level 3D representations of the environment i.e. by 3D building models is becoming mainstream.
In view of these developments, the 5th International Workshop on Point Cloud Processing brings together experts from industry, academia and national mapping agencies to present and discuss the processing, evaluation and interpretant of point clouds with a main focus on mapping purposes.
The program will provide a mix of invited speakers from industry, academia and governmental organizations as well as presentations selected on an abstract based review process.
Themes of the event include
- Hardware developments
- Visualization and acquisition
- Multi-Modal data processing LiDAR and imagery
- Semantic segmentation and classification
- Automatic generation of building models
- Applications and use-cases from practice
Prospective presenters may send a 1000 word abstract to pcp2027@ifp.uni-stuttgart.de till November 1st.
Selection of presentations will be based on abstract review by the organizers. Workshop material will cover abstracts and presentation slides.
https://pcp.ifp.uni-stuttgart.de/
