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A Digital Grain Generation Method Suitable for Geometric Textures
Author(s) -
Ryoji Miyachi,
Shin Usuki,
Kenjiro T. Miura
Publication year - 2016
Publication title -
international journal of automation technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.513
H-Index - 18
eISSN - 1883-8022
pISSN - 1881-7629
DOI - 10.20965/ijat.2016.p0209
Subject(s) - computer science , flattening , digital data , texture (cosmology) , computer vision , distortion (music) , product (mathematics) , texture mapping , texture synthesis , artificial intelligence , computer graphics (images) , engineering drawing , image texture , image processing , mathematics , image (mathematics) , engineering , data transmission , computer hardware , mechanical engineering , amplifier , computer network , geometry , bandwidth (computing)
The automated production of products using digital data has been realized in recent years through the development of manufacturing machines. Digital data are also used for automatic texturing. In a product texturing system using digital data, texture information needs to be incorporated in the generation of digital data. However, it is difficult to generate such data manually since it is not easy to fit the texture to the product or to prevent the texture pattern from being stretched or shortened. Therefore, what is needed is a method of automatically generating digital data that yields a seamless texture with little distortion and a method of fitting the texture to the product shape. In this paper, the application of the Angle Based Flattening (ABF) method by Sheffer and de Sturler to the generation of digital data of textures is proposed. Another method to extend the ABF technic to make it more suitable to geometric textures is also proposed.

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