Constrained Delaunay triangulations
SCG '87 Proceedings of the third annual symposium on Computational geometry
Extracting buildings from aerial images using hierachical aggregation in 2D and 3D
Computer Vision and Image Understanding
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Automatic description of complex buildings from multiple images
Computer Vision and Image Understanding
Procedural modeling of buildings
ACM SIGGRAPH 2006 Papers
Exploring cultural heritage sites through space and time
Journal on Computing and Cultural Heritage (JOCCH)
An improved snake model for building detection from urban aerial images
Pattern Recognition Letters
Machine learning for high-speed corner detection
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Digital reunification of the parthenon and its sculptures
VAST'03 Proceedings of the 4th International conference on Virtual Reality, Archaeology and Intelligent Cultural Heritage
Reconstruction of large cultural heritage sites from archived maps
VAST'09 Proceedings of the 10th International conference on Virtual Reality, Archaeology and Cultural Heritage
Editorial: Special Section on Cultural Heritage
Computers and Graphics
Historical map polygon and feature extractor
Proceedings of the 1st ACM SIGSPATIAL International Workshop on MapInteraction
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Archive cartography and archaeologist's sketches are invaluable resources when analysing a historic town or city. A virtual reconstruction of a city provides the user with the ability to navigate and explore an environment which no longer exists to obtain better insight into its design and purpose. However, the process of reconstructing the city from maps depicting features such as building footprints and roads can be labour intensive. In this paper we present techniques to aid in the semi-automatic extraction of building footprints from digital images of archive maps and sketches. Archive maps often exhibit problems in the form of inaccuracies and inconsistencies in scale which can lead to incorrect reconstructions. By aligning archive maps to accurate modern vector data one may reduce these problems. Furthermore, the efficiency of the footprint extraction methods may be improved by aligning either modern vector data or previously extracted footprints, since common elements can be identified between maps of differing time periods and only the difference between the two needs to be extracted. An evaluation of two alignment approaches is presented: using a linear affine transformation and a set of piecewise linear affine transformations.