The following links provide access to many of the 3D models that have been used in our publications.

Fragments for Pottery Vessel Reconstruction from 3D Scans of the Vessel Fragments

The following archaeological fragments were used to develop methods capable of automatically reconstructing a broken pot from 3D scans of the outer surface of its fragments.

A Simple Pot Broken For the Purposes of Experimentation

This pot was broken in the laboratory by dropping the pot from a height of approximately 4 feet onto a tiled floor. The broken pot consisted of many fragments. However, due to chipping and a there are only 13 fragments of sufficient size for scanning the resulting reconstruction will exhibit a small hole at the point of impact where several small fragments were generated that were not scanned.

p1.obj

p2.obj

p3.obj

p4.obj

p5.obj

p6.obj

p7.obj

p8.obj

p9.obj

p10.obj

p11.obj

p12.obj

p13.obj

Related Articles:

  1. Willis, A. and Cooper, D., Alignment of Multiple Non-Overlapping Axially Symmetric 3D Datasets, International Conference on Pattern Recognition (ICPR), Vol. IV, pp. 96–9, 2004.
  2. Willis, A. and Cooper, D., Bayesian Assembly of 3D Axially Symmetric Shapes from Fragments, Conference on Computer Vision and Pattern Recognition (CVPR), Vol. I, pp. 82–89, 2004.
  3. Willis, A. and Cooper, D. B., and Andrews, S. and Baker, J. and Cao, Y. and Han. D. and Kang, K. and Kong, W. and Leymarie, F. and Orriols, X. and Velipasalar, S. and Vote, E. and Joukowsky, M. S. and Kimia, B. and Mumford, D., Bayesian Pot-Assembly from Fragments as Problems in Perceptual-Grouping and Geometric-Learning, International Conference on Pattern Recognition (ICPR), Vol. III, pp. 297–302, 2002.
  4. Cooper, D. B. and Willis, A. and Andrews, S. and Baker, J. and Cao, Y. and Han, D. and Kang, K. and Kong, W. and Leymarie, F. and Orriols, X. and Velipasalar, S. and Vote, E. and Joukowsky, M. S. and Kimia, B. and Laidlaw, D. and Mumford, D., Assembling Virtual Pots from 3D Measurements of their Fragments, VAST International Symposium on Virtual Reality Archaeology and Cultural Heritage, pp. 241–253, 2001.

 

A Real-World Archaeological Vessel: A 7-Fragment Nabatean Drinking Vessel

This vessel was discovered at the Brown University excavation of the Great Temple, a structure in the ancient city of Petra in Jordan. There are 7 fragments available for the vessel which form the sides of the drinking vessel, the bottom of the vessel remains undiscovered to date.

petra1867.obj

petra1869.obj

petra1875.obj

petra1899.obj

petra1901.obj

petra1913.obj

petra1938.obj

Related Articles:

  1. Willis, A. and Cooper, D. B., From Ruins to Relics: Computational Reconstruction of Ancient Artifacts, IEEE Signal Processing Magazine, Vol. 25, No. 4, pp. 65-83, July 2008.
  2. Sui, Y. and Willis, A., Using Markov Random Fields and Algebraic Geometry to Extract 3D Symmetry Properties, Fourth International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT), June 18-20, Atlanta, GA, 2008.
  3. Willis, A. and Cooper D. B., Estimating a-Priori Unknown 3D Axially Symmetric Surfaces from Noisy Measurements of their Fragments, Third International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT), pp. 334-341, 2006.

 

Fragments for Pot Vessel Axis Estimation from a 3D Scan of  a Vessel Fragment

The following archaeological fragments were used to develop methods capable of accurately estimating the central axis and profile curve of a pottery vessel given a scan of the outer surface of a fragment from the vessel.


p642.obj

p654.obj

p967.obj

p997.obj

p1135.obj

p1313.obj

Related articles:

  1. Willis, A., Stochastic 3D Geometric Models for Classification, Deformation, and Estimation, Ph.D. Thesis, Brown University, May 2004.
  2. Willis, A. and Cooper, D. B. et. al., Accurately Estimating Sherd 3D Surface Geometry with Application to Pot Reconstruction, Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2003.
  3. Willis, A. and Orriols, X. and Velipasalar, S. and Cooper, D. B., Extracting Axially Symmetric 3D Geometry from Limited 3D Range Data, Technical Report LEMS-192, Brown University, Providence, RI, 2001.