Jianye Lu

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Interesting textures form on the surfaces of objects as the result of external chemical, mechanical, and biological agents. Simulating these textures is necessary to generate models for realistic image synthesis. The textures formed are progressively variant, with the variations depending on the global and local geometric context. We present a method for(More)
Texture synthesis techniques require nearly uniform texture samples, however identifying suitable texture samples in an image requires significant data preprocessing. To eliminate this work, we introduce a fully automatic pipeline to detect dominant texture samples based on a manifold generated using the diffusion distance. We define the characteristics of(More)
We consider the problem of the spatio-temporal variations in material appearance due to the wetting and drying of materials. We conducted a series of experiments that capture the appearance history of surfaces drying. We reduce this history to two parameters that control the shape of a drying curve. We relate these drying parameters to the shape of the(More)
Images of everyday scenes are frequently used as input for texturing 3D models in computer graphics. Such images include both the texture desired and other extraneous information. In our previous work [Lu et al. 2009], we defined <i>dominant texture</i> as a large homogeneous region in an input sample image and proposed an automatic method to detect(More)
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