Surface simplification using quadric error metrics
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
ROAMing terrain: real-time optimally adapting meshes
VIS '97 Proceedings of the 8th conference on Visualization '97
Voronoi diagrams and Delaunay triangulations
Handbook of discrete and computational geometry
A multiphase approach to efficient surface simplification
Proceedings of the conference on Visualization '02
Detection of Word Groups Based on Irregular Pyramid
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Two Approaches for Text Segmentation in Web Images
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Feature extraction of epiluminescence microscopic images by iterative segmentation algorithm
ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers
Entity clustering using 3D mesh simplification
ICAI'08 Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information
ICAI'08 Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information
Automatic text clustering and classification based on font geometrical characteristics
ICAI'08 Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information
Building a digital model of Michelangelo's Florentine Pieta
IEEE Computer Graphics and Applications
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Entity clustering is a vital feature of any automatic content conversion system. Such systems generate digital documents from hard copies of newspapers, books, etc. At application level, the system processes an image (usually in black and white color mode) and identifies 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 takes on different approaches which rely on the geometrical properties of the enclosed items: their relative position, size, boundaries and alignment. This paper describes such an approach based on 3D mesh reduction.