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Interactive Parameter Retrieval for Two‐Tone Procedural Textures
Author(s) -
Gieseke L.,
Koch S.,
Hahn J.-U.,
Fuchs M.
Publication year - 2014
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.12414
Subject(s) - computer science , artificial intelligence , tone (literature) , texture (cosmology) , metric (unit) , task (project management) , computer vision , image (mathematics) , variety (cybernetics) , space (punctuation) , texture synthesis , tone mapping , image texture , pattern recognition (psychology) , image processing , high dynamic range , art , dynamic range , operations management , literature , management , economics , operating system
The choice of parameters for procedural textures to achieve a desired appearance poses a challenging problem even for experienced artists. We propose a method to automatically determine such parameters to reproduce the appearance of input images. Addressing two‐tone textures, we separate the estimation of color and structure information and interpret the problem as image retrieval task from the space of procedural outputs. Applying a perceptually motivated image metric based on a texture descriptor enables us to precompute a comprehensive collection of possible parameter sets and yet achieve interactive retrieval performance. Our method supports a large variety of procedural texture models with a unified approach.