On 3D mosaicing of rotationally symmetric ceramic fragments

A major obstacle to the wider use of 3D object reconstruction and modeling is the extent of manual intervention needed. Such interventions are currently massive and exist throughout every phase of a 3D reconstruction project: collection of images, image management, establishment of sensor position and image orientation, extracting the geometric detail describing an object, merging geometric, texture and semantic data. This work aims to develop a solution for automated documentation of archaeological pottery, which also leads to a more complete 3D model out of multiple fragments. Generally the 3D reconstruction of arbitrary objects from their fragments can be regarded as a 3D puzzle. In order to solve it we identified the following main tasks: 3D data acquisition, orientation of the object, classification of the object and reconstruction. We demonstrate the method and give results on synthetic and real data.

[1]  Tsukasa Ogasawara,et al.  Joint detection for potsherds of broken earthenware , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

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

[3]  Grigore C. Burdea,et al.  Solving jigsaw puzzles by a robot , 1989, IEEE Trans. Robotics Autom..

[4]  Tarak Gandhi,et al.  An automatic jigsaw puzzle solver , 1994, Proceedings of 12th International Conference on Pattern Recognition.

[5]  Robert Sablatnig,et al.  A Highly Adaptable Concept for Visual Inspection , 1997 .

[6]  Ismail Hakki Toroslu,et al.  Automatic reconstruction of broken 3-D surface objects , 1999, Comput. Graph..

[7]  Montse Pardàs,et al.  Object matching based on partition information , 2002, Proceedings. International Conference on Image Processing.

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

[9]  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.

[10]  Shohei Kato,et al.  Earthenware Reconstruction Based on the Shape Similarity among Potsherds , 2001 .

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