Authors:
Dimitri Bulatov
;
Peter Wernerus
and
Hermann Gross
Affiliation:
Fraunhofer Institute of Optronics, Germany
Keyword(s):
Depth map, Point cloud, Urban terrain modeling.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Human-Computer Interaction
;
Image and Video Analysis
;
Image Understanding
;
Image-Based Modeling
;
Methodologies and Methods
;
Motion and Tracking
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Physiological Computing Systems
;
Shape Representation
;
Software Engineering
;
Video Analysis
Abstract:
Because of an increasing need and a rapid progress in the development of (unmanned) aerial vehicles and optical sensors that can be mounted onboard of these sensor platforms, there is also a considerable progress in 3D analysis of air- and UAV-borne video sequences. This work presents a robust method for multi-camera dense reconstruction as well as two important applications: creation of dense point clouds with precise 3D coordinates and, in the case of videos with Nadir perspective, a context-based method for urban terrain modeling. This method, which represents the main contribution of this work, includes automatic generation of digital terrain models (DTM), extraction of building outlines, modeling and texturing roof surfaces. A simple interactive method for vegetation segmentation is described as well.