A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
The digital Michelangelo project: 3D scanning of large statues
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Modelling from reality
Indoor scene reconstruction from sets of noisy range images
Graphical Models
Geometry and texture recovery of scenes of large scale
Computer Vision and Image Understanding
Building a digital model of Michelangelo's Florentine Pieta
IEEE Computer Graphics and Applications
Building Illumination Coherent 3D Models of Large-Scale Outdoor Scenes
International Journal of Computer Vision
Registration of combined range-intensity scans: Initialization through verification
Computer Vision and Image Understanding
Digital anastylosis of the Octagon in Ephesos
Journal on Computing and Cultural Heritage (JOCCH)
Incremental unsupervised three-dimensional vehicle model learning from video
IEEE Transactions on Intelligent Transportation Systems
International Journal of Computer Vision
Textured mesh surface reconstruction of large buildings with multi-view stereo
The Visual Computer: International Journal of Computer Graphics
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Preserving cultural heritage and historic sites is an important problem. These sites are subject to erosion and vandalism, and as long-lived artifacts, they have gone through many phases of construction, damage, and repair. Keeping accurate record of these sites using 3D model building technology lets preservationists track changes and foresee structural problems; it also allows a wider audience to virtually see and tour these sites. Due to the complexity of these sites, building 3D models is time consuming and difficult, usually involving much manual effort. This article discusses automatic methods that can reduce the time it takes to build a model. The methods use range image segmentation and feature extraction algorithms. The algorithm automatically computes pairwise registrations between individual scans, builds a topological graph, and places the scans in the same frame of reference. The methods can be extended to automate the texture mapping process as well, to create both geometric and photometric realistic models.