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
Object modelling by registration of multiple range images
Image and Vision Computing - Special issue: range image understanding
Sensor Modeling, Probabilistic Hypothesis Generation, and Robust Localization for Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A volumetric method for building complex models from range images
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
A Theory of Shape by Space Carving
International Journal of Computer Vision - Special issue on Genomic Signal Processing
A Distributed System for Real-Time Volume Reconstruction
CAMP '00 Proceedings of the Fifth IEEE International Workshop on Computer Architectures for Machine Perception (CAMP'00)
Fast global registration of 3D sampled surfaces using a multi-z-buffer technique
NRC '97 Proceedings of the International Conference on Recent Advances in 3-D Digital Imaging and Modeling
Geometrical cloning of 3D objects via simultaneous registration of multiple range images
SMA '97 Proceedings of the 1997 International Conference on Shape Modeling and Applications (SMA '97)
Consensus Surfaces for Modeling 3D Objects from Multiple Range Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Scalable 3D representation for 3D video in a large-scale space
Presence: Teleoperators and Virtual Environments - Special issue: IEEE VR 2003
Adaptively Merging Large-Scale Range Data with Reflectance Properties
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-time dynamic 3-D object shape reconstruction and high-fidelity texture mapping for 3-D video
IEEE Transactions on Circuits and Systems for Video Technology
Planar background elimination in range images: a practical approach
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Multi-view scans alignment for 3D spherical mosaicing in large-scale unstructured environments
Computer Vision and Image Understanding
Interactive 3d visualization of natural and cultural assets
Proceedings of the second workshop on eHeritage and digital art preservation
3D digitization and its applications in cultural heritage
EuroMed'10 Proceedings of the Third international conference on Digital heritage
Robust wide baseline scene alignment based on 3D viewpoint normalization
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
3D Line Drawing for Archaeological Illustration
International Journal of Computer Vision
Improving 3D reconstruction for digital art preservation
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Cultural learning in virtual heritage: an overview
IVIC'11 Proceedings of the Second international conference on Visual informatics: sustaining research and innovations - Volume Part II
Fast and robust semi-automatic registration of photographs to 3D geometry
VAST'11 Proceedings of the 12th International conference on Virtual Reality, Archaeology and Cultural Heritage
3D reconstruction of cultural heritages: Challenges and advances on precise mesh integration
Computer Vision and Image Understanding
Integration of 3D and multispectral data for cultural heritage applications: Survey and perspectives
Image and Vision Computing
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This paper presents an overview of our research project on digital preservation of cultural heritage objects and digital restoration of the original appearance of these objects. As an example of these objects, this project focuses on the preservation and restoration of the Great Buddhas. These are relatively large objects existing outdoors and providing various technical challenges. Geometric models of the great Buddhas are digitally achieved through a pipeline, consisting of acquiring data, aligning multiple range images, and merging these images. We have developed two alignment algorithms: a rapid simultaneous algorithm, based on graphics hardware, for quick data checking on site, and a parallel alignment algorithm, based on a PC cluster, for precise adjustment at the university. We have also designed a parallel voxel-based merging algorithm for connecting all aligned range images. On the geometric models created, we aligned texture images acquired from color cameras. We also developed two texture mapping methods. In an attempt to restore the original appearance of historical objects, we have synthesized several buildings and statues using scanned data and a literature survey with advice from experts.