Paper Title
Structure-based Synthesis of Material Samples

This paper presents an image processing algorithm allowing to synthesize material textures of arbitrary shapes. The method consists in constructing, using an arbitrary image, a structure layer of the material. The obtained structure layer then constrains the synthesis of the material texture. The structure layer is represented by the field of second-moment matrices. To ensure that the method faithfully reproduces the visual aspect and characteristics of the input material sample, several tests using various constraint images are implemented. The obtained results highlight the capability of the proposed algorithm to synthesize arbitrary-shaped material textures while respecting the local characteristics of the exemplar. This paves the way toward the synthesis of 3D material textures of arbitrary shapes from 2D material samples, with applications in virtual material design and materials characterization. Keywords - Local Orientation, Material Sample, Second-Moment Matrix, Structure, Synthesis