Surface simplification using quadric error metrics
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
A multiphase approach to efficient surface simplification
Proceedings of the conference on Visualization '02
Building a digital model of Michelangelo's Florentine Pieta
IEEE Computer Graphics and Applications
Line detection techniques for automatic content conversion systems
WSEAS Transactions on Information Science and Applications
3D mesh simplification techniques for image-page clusters detection
WSEAS Transactions on Information Science and Applications
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Entity clustering is a vital feature needed by any automatic content conversion system. Such a system constructs a digital document from a hard copy of a newspaper, book, etc. At application level, the system will process an image (typically black and white) and identify the various content layout elements, such as paragraphs, tables, images, columns, etc. Here is where the entity clustering mechanism comes into play. Its role is to group atomic entities (characters, points, lines) into layout elements. To achieve this, the system can take on different approaches. They mostly rely on the geometrical properties of the enclosed items, like their relative position, size, boundaries or alignment. This paper describes an approach based on 3D mesh reduction algorithms.