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IEEE Transactions on Pattern Analysis and Machine Intelligence
Artificial Intelligence
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CVGIP: Graphical Models and Image Processing
Computation of object cores from grey-level images
Computation of object cores from grey-level images
Shape measures for content based image retrieval: a comparison
Information Processing and Management: an International Journal
Efficiently Locating Objects Using the Hausdorff Distance
International Journal of Computer Vision
Qualitative Spatial Reasoning: Theory and Practice: Application to Robot Navigation
Qualitative Spatial Reasoning: Theory and Practice: Application to Robot Navigation
A Global Framework for Qualitative Shape Description
Geoinformatica
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Shape signature matching for object identification invariant to image transformations and occlusion
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Ambient Intelligence for Scientific Discovery
Journal of Visual Communication and Image Representation
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A theory of shape recognition of 2D objects and its application in the ceramic industry for intelligent automation of the mosaic mural assembly process are presented in this paper. This theory qualitatively describes the shapes of the objects, considering: (i) shape boundary characteristics, such as angles, relative length, concavities, and curvature; and (ii) their color and size. The shapes to be recognized may be regular or irregular closed polygons, or closed curvilinear figures. Each figure is described as a symbolic character string that contains all its distinctive characteristics. This description is used to determine whether the shape of two figures matches. Then, given a design of a mosaic and given a set of physical ceramic tesserae, an application is developed in order to recognize the tesserae that form the mosaic, thus enabling the intelligent and automated assembly of ceramic mosaics.