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A Shape‐Aware Model for Discrete Texture Synthesis
Author(s) -
Landes PierreEdouard,
Galerne Bruno,
Hurtut Thomas
Publication year - 2013
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.12152
Subject(s) - texture synthesis , computer science , process (computing) , algorithm , monte carlo method , texture (cosmology) , point process , computer graphics , graphics , texture mapping , view synthesis , point (geometry) , computer graphics (images) , texture memory , sampling (signal processing) , artificial intelligence , computer vision , 3d computer graphics , image texture , geometry , rendering (computer graphics) , mathematics , image (mathematics) , image processing , software rendering , statistics , operating system , filter (signal processing)
Abstract We present a novel shape‐aware method for synthesizing 2D and 3D discrete element textures consisting of collections of distinct vector graphics objects. Extending the long‐proven point process framework, we propose a shape process , a novel stochastic model based on spatial measurements that fully take into account the geometry of the elements. We demonstrate that our approach is well‐suited for discrete texture synthesis by example. Our model enables for both robust statistical parameter estimation and reliable output generation by Monte Carlo sampling. Our numerous experiments show that contrary to current state‐of‐the‐art techniques, our algorithm manages to capture anisotropic element distributions and systematically prevents undesirable collisions between objects.