Feature-aligned shape texturing
Author(s) -
Kai Xu,
Daniel CohenOr,
Tao Ju,
Ligang Liu,
Hao Zhang,
Shizhe Zhou,
Yueshan Xiong
Publication year - 2009
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
ISSN - 0730-0301
DOI - 10.1145/1661412.1618454
Subject(s) - salient , feature (linguistics) , texture synthesis , texture (cosmology) , artificial intelligence , computer science , surface (topology) , computer vision , field (mathematics) , matching (statistics) , pattern recognition (psychology) , feature extraction , feature vector , orientation (vector space) , texture compression , image texture , geometry , mathematics , image (mathematics) , image processing , pure mathematics , philosophy , linguistics , statistics
The essence of a 3D shape can often be well captured by its salient feature curves. In this paper, we explore the use of salient curves in synthesizing intuitive, shape-revealing textures on surfaces. Our texture synthesis is guided by two principles: matching the direction of the texture patterns to those of the salient curves, and aligning the prominent feature lines in the texture to the salient curves exactly. We have observed that textures synthesized by these principles not only fit naturally to the surface geometry, but also visually reveal, even reinforce, the shape's essential characteristics. We call these feature-aligned shape texturing. Our technique is fully automatic, and introduces two novel technical components in vector-field-guided texture synthesis: an algorithm that orients the salient curves on a surface for constrained vector field generation, and a feature-to-feature texture optimization.
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