Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Generation of High-Quality Building Models from Lidar Data
IEEE Computer Graphics and Applications
Unsupervised Segmentation Using Gabor Wavelets and Statistical Features in LIDAR Data Analysis
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
A Bayesian Approach to Building Footprint Extraction from Aerial LIDAR Data
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Fast and extensible building modeling from airborne LiDAR data
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
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Airborne LiDAR data can be used to create 3D terrain models useful in augmented or virtual reality in which real-world landscapes are incorporated. Automatic generation of 3D models of man-made structures such as buildings is essential for creating these detailed models. We present a method that builds a 3D mesh, segments the triangles, and forms planar facets that correspond to a roof structure of a target building. We illustrate our method with real-world data sets.