1. Interactive Parameter Retrieval for Two-Tone Procedural Textures
- Author
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Martin Fuchs, J.-U. Hahn, L. Gieseke, and Steffen Koch
- Subjects
Texture atlas ,Computer science ,business.industry ,Texture Descriptor ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Computer Graphics and Computer-Aided Design ,S3 Texture Compression ,Metric (mathematics) ,Procedural texture ,Computer vision ,Artificial intelligence ,business ,Image retrieval ,ComputingMethodologies_COMPUTERGRAPHICS ,Anisotropic filtering - Abstract
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.
- Published
- 2014
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