Skip to Main content Skip to Navigation
Conference papers

Geometric Clustering for Line Drawing Simplification

Pascal Barla 1 Joëlle Thollot 1 François X. Sillion 1
1 ARTIS - Acquisition, representation and transformations for image synthesis
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : We present a new approach to the simplification of line drawings, in which a smaller set of lines is created to represent the geometry of the original lines. An important feature of our method is that it maintains the morphological structure of the original drawing while allowing user-de ned decisions about the appearance of lines. The technique works by analyzing the structure of the drawing at a certain scale and identifying clusters of lines that can be merged given an extendable error threshold. These clusters are then processed to create new lines, in a separate stage where different scenarios can be favored based on the application. Successful results are presented for a variety of drawings including scanned and vectorized artwork, original vector drawings, drawings created from 3d models, and hatching marks. The clustering technique is shown to be effective in all these situations.
Document type :
Conference papers
Complete list of metadata

Cited literature [16 references]  Display  Hide  Download
Contributor : Pascal Barla Connect in order to contact the contributor
Submitted on : Friday, April 29, 2011 - 12:20:36 PM
Last modification on : Monday, November 8, 2021 - 1:36:02 PM
Long-term archiving on: : Saturday, July 30, 2011 - 2:28:56 AM


  • HAL Id : inria-00362893, version 1




Pascal Barla, Joëlle Thollot, François X. Sillion. Geometric Clustering for Line Drawing Simplification. Proceedings of the Eurographics Symposium on Rendering, Jun 2005, Konstanz, Germany. pp.183-192. ⟨inria-00362893⟩



Record views


Files downloads