Performance Evaluation and Analysis of Monocular Building Extraction From Aerial Imagery
IEEE Transactions on Pattern Analysis and Machine Intelligence
View Alignment of Aerial and Terrestrial Imagery in Urban Environments
ISD '99 Selected Papers from the International Workshop on Integrated Spatial Databases, Digital Inages and GIS
Recognition and reconstruction of buildings from multiple aerial images
Computer Vision and Image Understanding
Augmented Scene Modeling and Visualization by Optical and Acoustic Sensor Integration
IEEE Transactions on Visualization and Computer Graphics
Rapid damage assessment of built-up structures using VHR satellite data in tsunami-affected areas
International Journal of Remote Sensing - Satellite Observations Related to Sumatra Tsunami and Earthquake of 26 December 2004
A Polygon Detection Algorithm for Robot Visual Servoing
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part I
| Hi-index | 0.00 |
A technique is introduced for extracting and reconstructing a wide class of building types from a registered range image and optical image. An attentional focus stage, followed by model indexing, allows top-down robust surface fittting to reconstruct the 3D nature of the buildings in the data. Because of the effectiveness of model selection, top-down processing of noisy range data still succeeds and the algorithm is capable of detecting and reconstructing several different building roof classes, including fiat single level, fiat multi-leveled, peaked, and curued rooftops. The algorithm is applicable to range data that may have been collected from several different range sensor types. We demonstrate reconstructions of different buildings classes in the presence of large amounts of noise. Our results underline the usefuless of range data when processed in the context of a focus-of-attention area derived from the monocular optical image.