Results 21 to 30 of about 2,816,696 (286)

Texture Synthesis with Grouplets [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010
This paper proposes a new method to synthesize and inpaint geometric textures. The texture model is composed of a geometric layer that drives the computation of a new grouplet transform. The geometry is an orientation flow that follows the patterns of the texture to analyze or synthesize.
openaire   +3 more sources

3D Visualization of Trees Based on a Sphere-Board Model

ISPRS International Journal of Geo-Information, 2018
Because of the smooth interaction of tree systems, the billboard and crossed-plane techniques of image-based rendering (IBR) have been used for tree visualization for many years.
Jiangfeng She, Xingchen Guo, Xin Tan, Jianlong Liu   +3 more
doaj   +1 more source

Voxel-wise UV parameterization and view-dependent texture synthesis for immersive rendering of truncated signed distance field scene model

ETRI Journal, 2022
In this paper, we introduced a novel voxel-wise UV parameterization and view-dependent texture synthesis for the immersive rendering of a truncated signed distance field (TSDF) scene model.
Soowoong Kim, Jungwon Kang
doaj   +1 more source

Distributed texture-based terrain synthesis [PDF]

, 2011
Terrain synthesis is an important field of Computer Graphics that deals with the generation of 3D landscape models for use in virtual environments. The field has evolved to a stage where large and even infinite landscapes can be generated in realtime ...
Tasse, Flora Ponjou
core   +1 more source

Computation of Compact Distributions of Discrete Elements

Algorithms, 2019
In our daily lives, many plane patterns can actually be regarded as a compact distribution of a number of elements with certain shapes, like the classic pattern mosaic.
Jie Chen, Gang Yang, Meng Yang
doaj   +1 more source

Texture representation via analysis and synthesis with generative adversarial networks

e-Prime: Advances in Electrical Engineering, Electronics and Energy, 2023
We investigate data-driven texture modeling via analysis and synthesis with generative adversarial networks. For network training and testing, we have compiled a diverse set of spatially homogeneous textures, ranging from stochastic to regular.
Jue Lin, Zhiwei Xu, Gaurav Sharma, Thrasyvoulos N. Pappas   +3 more
doaj   +1 more source

Texture mapping in a distributed environment [PDF]

, 2003
This paper presents a tool for texture mapping in a distributed environment. A parallelization method based on the master-slave model is described. The purpose of this work is to lower the image generation time in the complex 3D scenes synthesis process.
Telea, Alexandru, Telea, Alexandru,, Goga, N., Nicolae, Goga,, Racovita, Zoea,, Racovita, Z., et al, xx, Nicolae, Goga, Racovita, Zoea, Telea, A.C., Banissi, E.   +10 more
core   +2 more sources

Integration of feature distributions for colour texture segmentation [PDF]

, 2004
This paper proposes a new framework for colour texture segmentation and determines the contribution of colour and texture. The distributions of colour and texture features provides the discrimination between different colour textured regions in an ...
P.F. Whelan, Nammalwar, Padmapriya, Ghita, Ovidiu, O. Ghita, Whelan, Paul F., P. Nammalwar   +5 more
core   +2 more sources

Learning generative texture models with extended Fields-of-Experts [PDF]

, 2009
We evaluate the ability of the popular Field-of-Experts (FoE) to model structure in images. As a test case we focus on modeling synthetic and natural textures.
Geoffrey E. Hinton, Christopher K.I. Williams, Hinton, Geoffrey E., Heess, Nicolas, Williams, Christopher K. I., Nicolas Heess   +5 more
core   +1 more source

Colour texture segmentation using evidence gathering [PDF]

, 2012
A new approach to colour-texture segmentation is presented which uses Local Binary Pattern data and a new colour quantisation scheme based on hue and saturation to provide evidence from which pixels can be classified into texture classes.
Carter, John N, Nixon, Mark S, Waller, Ben M   +2 more
core   +2 more sources