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White bread brick wall - PowerPoint PPT Presentation

4054 Machine Vision Modelling Textures

4054 Machine Vision Modelling Textures. Dr. Simon Prince Dept. Computer Science University College London. http://www.cs.ucl.ac.uk/s.prince/4054.htm. Introduction. Individual pixels measurement at single pixels inference of labels labels not connected Markov Random Fields

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1.02k views • 87 slides

Texture Synthesis

Texture Synthesis. No Texture. Using a sampling of 2D perlin Noise provides smooth hills. Terrain Coloring. Using a 1D texture map based on the altitude can provide many useful mapping. Terrain Coloring. Striped 1D texture map. Terrain Coloring.

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659 views • 45 slides

Texture Synthesis by Non-parametric Sampling

Texture Synthesis by Non-parametric Sampling. Alexei Efros and Thomas Leung UC Berkeley. Goal of Texture Synthesis. input image. Given a finite sample of some texture, the goal is to synthesize other samples from that same texture. The sample needs to be "large enough". SYNTHESIS.

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448 views • 32 slides

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4054 Machine Vision Modelling Textures

Texture Synthesis

Texture Synthesis by Non-parametric Sampling