Topics | Focus
The quality of area covering 3D point clouds as captured by aerial and mobile mapping platforms still experiences a considerable boost due to the ongoing advancements in LiDAR technology and Multi-View-Stereo-Matching (MVS). In addition to further enhancement of the respective accuracy, density and reliability the semantic segmentation of these point clouds come more and more into focus. Also triggered by the astonishing improvements in the field of pattern recognition and machine learning, automatic interpretation of area covering point clouds including tasks like object detection and classification or object-dependent filtering and smoothing is moving rapidly to a mature state. In view of these developments, the meeting brings together experts from industry, academia and national mapping agencies to present and discuss the processing and evaluation of point clouds focusing 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
- acquisition & visualisation
- data structures & management,
- segmentation & classification,
- object detection & reconstruction,
- applications & use-cases from practice
Prospective presenters may send a 1000 word abstract to email@example.com
Event | Organizers
Event | schedule