Perception-driven procedural texture generation from examples

By a News Reporter-Staff News Editor at Journal of Robotics & Machine Learning -- Current study results on Computation - Neural Computation have been published. According to news reporting originating from Qingdao, People’s Republic of China, by VerticalNews correspondents, research stated, “Procedural textures are widely used in computer games and animations for efficiently rendering natural scenes. They are generated using mathematical functions, and users need to tune the model parameters to produce desired texture.”

Funders for this research include National Natural Science Foundation Of China, Natural Science Foundation of Shandong.

Our news editors obtained a quote from the research from the Ocean University of China, “However, unless one has a good knowledge of these procedural models, it is difficult to predict which model can produce what types of textures. This paper proposes a framework for generating new procedural textures from examples. The new texture can have the same perceptual attributes as those of the input example or re-defined by the users. To achieve this goal, we first introduce a PCA-based Convolutional Network (PCN) to effectively learn texture features. These PCN features can be used to accurately predict the perceptual scales of the input example and a procedural model that can generate the input. Perceptual scales of the input can be redefined by users and further mapped to a point in the perceptual texture space, which has been established in advance by using a training dataset. Finally, we determine the parameters of the procedural generation model by performing perceptual similarity measurement in the perceptual texture space.”

According to the news editors, the research concluded: “Extensive experiments show that our method has produced promising results.”

For more information on this research see: Perception-driven procedural texture generation from examples. Neurocomputing , 2018;291():21-34. Neurocomputing can be contacted at: Elsevier Science Bv, PO Box 211, 1000 Ae Amsterdam, Netherlands. (Elsevier - www.elsevier.com; Neurocomputing - http://www.journals.elsevier.com/neurocomputing/)

The news editors report that additional information may be obtained by contacting J.Y. Dong, Ocean University of China, Dept. of Comp Sci & Technol, Qingdao, People’s Republic of China. Additional authors for this research include Y.H. Gan, J. Liu, L. Qi, X. Sun, M.W. Jian, L.N. Wang and H. Yu.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.neucom.2018.02.061. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

CITATION: (2018-04-23), Researchers at Ocean University of China Have Reported New Data on Neural Computation (Perception-driven procedural texture generation from examples), Journal of Robotics & Machine Learning, 298, ISSN: 1944-186X, BUTTER® ID: 015548132

From the newsletter Journal of Robotics & Machine Learning.
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