Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
From Urban Terrain Models to Visible Cities
IEEE Computer Graphics and Applications
Approaches to Large-Scale Urban Modeling
IEEE Computer Graphics and Applications
Visualizing reality in an augmented virtual environment
Presence: Teleoperators and Virtual Environments - Special issue: IEEE VR 2003
Towards flexible coordination of human-agent teams
Multiagent and Grid Systems
Fast and extensible building modeling from airborne LiDAR data
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
The DEFACTO system: training tool for incident commanders
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
2.5D dual contouring: a robust approach to creating building models from Aerial LiDAR point clouds
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
3D building reconstruction from LIDAR data
ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
Generating and updating textures for a large-scale environment
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
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This paper presents a complete modeling system that extracts complex building structures with irregular shapes and surfaces. Our modeling approach is based on the use of airborne LiDAR which offers a fast and effective way to acquire models for a large urban environment. To verify and refine the reconstructed ragged model, we present a primitive-based model refinement approach that requires minor user assistance. Given the limited user input, the system automatically segments the building boundary, does the model refinement, and assembles the complete building model. By adapting a set of appropriate geometric primitives and fitting strategies, the system can model a range of complex buildings with irregular shapes. We demonstrate this system's ability to model a variety of complex buildings rapidly and accurately from LiDAR data of the entire USC campus.