Bayesian Pot-Assembly from Fragments as Problems in Perceptual-Grouping And Geometric-Learning

A heretofore unsolved problem of great archaeological importance is the automatic assembly of pots made on a wheel from the hundreds (or thousands) of sherds found at an excavation site. An approach is presented to the automatic estimation of mathematical models of such pots from 3D measurements of sherds. A Bayesian approach is formulated beginning with a description of the complete set of geometric parameters that determine the distribution of the sherd measurement data. Matching of fragments and aligning them geometrically into configurations is based on matching break-curves (curves on a pot surface separating fragments), estimated axis and profile curve pairs for individual fragments and configurations of fragments, and a number of features of groups of break-curves. Pot assembly is a bottom-up maximum likelihood performance-based search. Experiments are illustrated on pots which were broken for the purpose, and on sherds from an archaeological dig located in Petra, Jordan. The performance measure can also be aposteriori probability, and many other types of information can be included, e.g., pot wall thickness, surface color, patterns on the surface, etc. This can also be viewed as the problem of learning a geometric object from an unorganized set of free-form fragments of the object and of clutter, or as a problem of perceptual grouping

Computer aided puzzle assembly based on shape and texture information /

Puzzle assembly’s importance lies into application in many areas such as restoration and reconstruction of archeological findings, the repairing of broken objects, solving of the jigsaw type puzzles, molecular docking problem, etc. Puzzle pieces usually include not only geometrical shape information but also visual information of texture, color, continuity of lines, and so on. Moreover, textural information is mainly used to assembly pieces in some cases, such as classic jigsaw puzzles. This research presents a new approach in that pictorial assembly, in contrast to previous curve matching methods, uses texture information as well as geometric shape. The assembly in this study is performed using textural features and geometrical constraints. First, the texture of a band outside the border of pieces is predicted by inpainting and texture synthesis methods. The feature values are derived by these original and predicted images of pieces. A combination of the feature and confidence values is used to generate an affinity measure of corresponding pieces. Two new algorithms using Fourier based image registration techniques are developed to optimize the affinity. The algorithms for inpainting, affinity and Fourier based assembly are explained with experimental results on real and artificial data. The main contributions of this research are: The development of a performance measure that indicates the level of success of assembly of pieces based on textural features and geometrical shape. Solution of the assembly problem by using of the Fourier based methods

Nuevas tecnologías aplicadas al análisis de la cerámica ibérica a torno del Alto Guadalquivir (S. VI a.n.e-S. I d.n.e)

[ES] En esta tesis se presenta una metodología de digitalización, sistematización y clasificación de cerámica arqueológica realizada sobre una colección de referencia compuesta por 1.133 recipientes cerámicos documentados en asentamientos de época ibérica de la Alta Andalucía (Jaén, Córdoba y Granada). Se han introducido métodos basados en nuevas tecnologías que han permitido la realización de modelos tridimensionales de recipientes cerámicos, la construcción de una plataforma on line en la que se ha incluido información gráfica y semántica referente a los recipientes y el diseño de un sistema informático de apoyo a la decisión en el proceso de clasificación basado en análisis de imágenes.Por último la información se ha insertado en el portal de la cultura europea de Europeana (http://www.europeana.eu/portal/).[EN] This thesis presents a methodology for digitization, systematization and classification of archaeological ceramics. It has been performed on a reference collection composed of 1,133 ceramic vessels documented in settlements of the Iberian period of Andalusia (Jaén, Córdoba and Granada). Methods based on new technologies have been introduced to allow the elaboration of three-dimensional models of ceramic vessels, the construction of an online platform on which graphical and semantic information is included and the design of a decision support system for the ceramic classification based on image analysis. Finally the information has been inserted in the European culture portal of Europeana (http://www.europeana.eu/portal/).Tesis Univ. Jaén. Departamento de Patrimonio Histórico. Leída el 28 de enero de 201