Virtual reconstruction of broken and unbroken pottery

Motivated by the requirements of the present archaeology, we are developing an automated system for archaeological classification and reconstruction of ceramics. Due to the nature of ceramics, most of the excavated vessels are in the form of fragments called sherds. Only a few of the finds are complete, however these finds are the most important and interesting ones. Therefore we are developing a system that handles both complete and broken vessels using two different reconstruction strategies: A shape from silhouette based method for complete vessels and a profile based method for fragments. The profile is the cross-section of the fragment in the direction of the rotational axis of symmetry and can be represented by a closed curve in the plane. For complete vessels the 3D reconstruction is based on a sequence of images of the object taken from different viewpoints. Then the output of both algorithms is used to construct the 3D model of the vessel for classification and display.

[1]  Michael Potmesil Generating octree models of 3D objects from their silhouettes in a sequence of images , 1987, Comput. Vis. Graph. Image Process..

[2]  Luc Van Gool,et al.  3D MURALE: a multimedia system for archaeology , 2001, VAST '01.

[3]  Kiriakos N. Kutulakos,et al.  A Theory of Shape by Space Carving , 2000, International Journal of Computer Vision.

[4]  Azriel Rosenfeld,et al.  Advances in Digital and Computational Geometry , 1999 .

[5]  Benjamin B. Kimia,et al.  On solving 2D and 3D puzzles using curve matching , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[6]  Richard Szeliski,et al.  Rapid octree construction from image sequences , 1993 .

[7]  Paul J. Besl,et al.  Active, optical range imaging sensors , 1988, Machine Vision and Applications.

[8]  King-Sun Fu,et al.  IEEE Transactions on Pattern Analysis and Machine Intelligence Publication Information , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Jorge Stolfi,et al.  A Multiscale Method for the Reassembly of Two-Dimensional Fragmented Objects , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  C. Orton,et al.  Pottery in archaeology , 1995 .

[11]  Michael A. Greenspan,et al.  A nearest neighbor method for efficient ICP , 2001, Proceedings Third International Conference on 3-D Digital Imaging and Modeling.

[12]  Robert M. Haralick,et al.  Glossary of computer vision terms , 1990, Pattern Recognit..

[13]  Martin Kampel,et al.  Combining shape from silhouette and shape from structured light for volume estimation of archaeological vessels , 2002, Object recognition supported by user interaction for service robots.

[14]  Marc Levoy,et al.  Efficient variants of the ICP algorithm , 2001, Proceedings Third International Conference on 3-D Digital Imaging and Modeling.

[15]  Helmut Pottmann,et al.  An introduction to line geometry with applications , 1999, Comput. Aided Des..

[16]  María Victoria Romero Carnicero Conspectus formarum terrae sigillatae Italico modo confectae , 1991 .

[17]  Kari Pulli,et al.  Multiview registration for large data sets , 1999, Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062).

[18]  Bir Bhanu,et al.  Representation and Shape Matching of 3-D Objects , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[19]  Mohan M. Trivedi,et al.  3-D Computer Vision Using Structured Light: Design, Calibration, and Implementation Issues , 1996, Adv. Comput..

[20]  Aldo Laurentini,et al.  How Far 3D Shapes Can Be Understood from 2D Silhouettes , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[21]  Robert Sablatnig,et al.  3D modeling of archaeological vessels using shape from silhouette , 2001, Proceedings Third International Conference on 3-D Digital Imaging and Modeling.

[22]  David B. Cooper,et al.  Bayesian Pot-Assembly from Fragments as Problems in Perceptual-Grouping and Geometric-Learning , 2002, ICPR.

[23]  SablatnigRobert,et al.  Model-based registration of front- and backviews of rotationally symmetric objects , 2002 .

[24]  Martin Kampel,et al.  Classification of archaeological fragments using profile primitives , 2001 .

[25]  Georgios Papaioannou,et al.  Virtual Archaeologist: Assembling the Past , 2001, IEEE Computer Graphics and Applications.