JOURNAL ARTICLE

FAST SPATIALLY CONTROLLABLE 2D/3D TEXTURE SYNTHESIS AND MORPHING FOR MULTIPLE INPUT TEXTURES

Abstract

Texture synthesis and morphing are important techniques for efficiently creating realistic textures used in scientific and entertainment applications.In this paper we present a novel fast algorithm for multi-dimensional texture synthesis and morphing that is especially suitable for parallel architectures such as GPUs or direct volume rendering (DVR) hardware.Our proposed solution generalizes the synthesis process to support higher than three-dimensional synthesis and morphing.We introduce several improvements to previous 2D synthesis algorithms, such as new appearance space attributes and an improved jitter function.We then modify the synthesis algorithm to use it for texture morphing which can be applied to arbitrary many 2D input textures and can be spatially controlled using weight maps.Our results suggest that the algorithm produces higher quality textures than alternative algorithms with similar speed.Compared to higher quality texture synthesis algorithms, our solution is considerablly faster and allows the synthesis of additional channels without affecting the running time of the synthesis at all.The method is easily extended to allow fast 3D synthesis and as another novel contribution we show several examples for morphed solid 3D textures.Overall the presented technique provides an excellent trade-off between speed and quality, is highly flexible, allows the use of arbitrary channels such as transparencies and displacement maps, can be extended to arbitrary dimensions and is suitable for a GPU-implementation.

Keywords:
Morphing Texture synthesis Computer science Texture (cosmology) Computer vision Artificial intelligence Image texture Computer graphics (images) Image segmentation Image (mathematics)

Metrics

4
Cited By
1.27
FWCI (Field Weighted Citation Impact)
24
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Computer Graphics and Visualization Techniques
Physical Sciences →  Computer Science →  Computer Graphics and Computer-Aided Design
Image Processing and 3D Reconstruction
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Industrial Vision Systems and Defect Detection
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering

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