Texture Synthesis Research Papers - Academia.edu (original) (raw)

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- Texture Synthesis
- by Eero P Simoncelli and +1
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- Computer Vision, Statistical Computing, Efficient Algorithm for ECG Coding, Texture Synthesis
- by Jean-Pierre Hombach
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- Non-photorealistic rendering, Super resolution, Image Filtering, Texture Synthesis
- by Ling Huang
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- Image Processing, Compression Algorithms, Texture Synthesis
- by Brian Cabral
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- Visualization, Convolution, Texture Synthesis, Rendering
- by Holly Rushmeier
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- Information Systems, User Interface, Weathering, Texture Synthesis
- by Harry Shum
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- Information Systems, Density-functional theory, Texture Synthesis, Real Time
- by Michael Black
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- Temporal Data Mining, Linear Model, Human Motion, Probabilistic Model Checking
- by Harry Shum
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- Information Systems, Texture Synthesis, Surface Texture
- by Li Cheng
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- Engineering, Computational Physics, Image Processing, Pattern Formation
- by Kedar Patwardhan
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- Cognitive Science, Algorithms, Image segmentation, Artifacts
- by kun zhou
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- Information Systems, Texture Synthesis, Surfaces, Surface Texture
- by Paolo Cignoni
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- Computer Science, Computer Graphics, Software Engineering, Artificial Intelligence
- by Daniel Cohenor
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- Information Systems, Texture Synthesis, Texture Mapping
- by Minglun Gong
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- Computer Science, Computer Vision, Visualization, Image segmentation
- by kun zhou
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- Close relationships, Spectral analysis, Texture Synthesis, Interval arithmetic
- by Lucas Pereira
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- Computer Science, Statistics, Nonlinear filters, Stochastic processes

AbstractWavelet-domain hidden Markov models (HMMs), in particular, hidden Markov tree (HMT), were recently proposed and applied to image processing, where it was usually assumed that three subbands of the two-dimensional discrete wavelet... more

- by Guoliang Fan
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- Mathematics, Computer Science, Image Processing, Iterative Methods
- by j.p. lewis
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- Fractals, Terrain Generation, Texture Synthesis
- by Guoning Chen
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- Algorithms, Computer Graphics, Rheology, Fluid Simulation
- by Paolo Cignoni and +1
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- Digital Photography, Time Use, Image Quality, Profitability
- by Xianfeng David Gu
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- Texture Synthesis, Shape Retrieval, Linear System, Fundamental Solution
- by Michal Haindl
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- Information Systems, Algorithms, Artificial Intelligence, Computer Vision
- by Philip Dutré
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- Information Systems, Texture Synthesis, Computer Graphic, Spectral Properties

Steganography is the method for concealing data inside another file, message, image, or video. The purpose of steganography is to hide data in a manner that existence of communication is unknown by an attacker. This proposed work presents stegnography in texture images utilizing reversible texture synthesis based on error histogram shift. Texture synthesis process synthesizes a large texture image from a smaller texture image, which has same local appearance. The texture synthesis procedure is fabricated into steganography concealing secret messages and in addition the source texture. The algorithm conceals the source texture image and embeds the secret messages through the procedure of texture synthesis and error histogram shift. This permits us to extract the secret messages and the source texture from a stego synthetic texture.

- by Andy Nealen
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- Texture Synthesis, Hybrid Algorithm, Morphological Operation
- by Xin Tong
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- Information Systems, Image-based Rendering, Computational Photography, Texture Synthesis
- by Lvdi Wang
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- High Dynamic Range Imaging, High Dynamic Range, Sampling, Texture Synthesis
- by Yiying Tong
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- Information Systems, Texture Synthesis, Boundary Condition, Spherical Harmonics
- by Shi-min Hu
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- Cognitive Science, Space Time, Texture Synthesis, Graph Cut
- by j.p. lewis
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- Computer Facial Animation, Texture Synthesis
- by Yoav Hacohen and +1
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- Image Analysis, Texture Synthesis, Image Modeling, Hybrid Approach
- by Victor Ostromoukhov
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- Animation, Video, Non-photorealistic rendering, Texture Synthesis

In this paper we describe a multipurpose tool for analysis of the performance characteristics of computer graphics hardware and software. We are developing Qsilver, a highly configurable micro-architectural simulator of the GPU that uses the Chromium system's ability to intercept and redirect an OpenGL stream. The simulator produces an annotated trace of graphics commands using Chromium, then runs the trace

- by David Luebke
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- Energy Saving, Chromium, Texture Synthesis, Computer Graphic
- by Aytul Ercil
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- Pattern Recognition, Image Registration, Molecular docking, Texture Synthesis
- by Remy Drouilhet
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- Spatial Statistics, Texture Synthesis, NPR, Point of View

Mug shot photography has been used to identify criminals by the police for more than a century. However, the common scenario of face recognition using frontal and side-view mug shots as gallery remains largely uninvestigated in computerized face recognition across pose. This paper presents a novel appearance-based approach using frontal and sideface images to handle pose variations in face recognition,

- by Maylor Leung
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- Engineering, Face Recognition, Texture Synthesis, Surface Properties
- by Victoria Interrante
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- Computational Geometry, Vision, Texture Synthesis, High Resolution
- by Eyal Ofek
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- Texture Synthesis
- by Holly Rushmeier
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- Information Systems, Texture Synthesis

The essence of a 3D shape can often be well captured by its salient feature curves. In this paper, we explore the use of salient curves in synthesizing intuitive, shape-revealing textures on surfaces. Our texture synthesis is guided by two principles: matching the direction of the texture patterns to those of the salient curves, and aligning the prominent feature lines in the texture to the salient curves exactly. We have observed that textures synthesized by these principles not only fit naturally to the surface geometry, but also visually reveal, even reinforce, the shape's essential characteristics. We call these feature-aligned shape texturing . Our technique is fully automatic, and introduces two novel technical components in vector-field-guided texture synthesis: an algorithm that orients the salient curves on a surface for constrained vector field generation, and a feature-to-feature texture optimization.

- by Daniel Cohenor
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- Information Systems, Texture Synthesis

We introduce hexagonal global parameterization, a new type of surface parameterization in which parameter lines respect sixfold rotational symmetries (6-RoSy). Such parameterizations enable the tiling of surfaces with nearly regular hexagonal or triangular patterns, and can be used for triangular remeshing. Our framework to construct a hexagonal parameterization, referred to as HEXCOVER, extends the QUADCOVER algorithm and formulates necessary conditions for hexagonal parameterization. We also provide an algorithm to automatically generate a 6-RoSy field that respects directional and singularity features in the surface. We demonstrate the usefulness of our geometry-aware global parameterization with applications such as surface tiling with nearly regular textures and geometry patterns, as well as triangular and hexagonal remeshing.

- by J. Francos
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- Cognitive Science, Image Processing, Iterative Methods, Modeling
- by Eero P Simoncelli
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- Auditory System, Texture Synthesis
- by Javier Portilla and +1
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- Optical Engineering, Spatial Frequency, Texture Synthesis, Optical physics