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» User-defined Texture Synthesis
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ICIP
2000
IEEE
14 years 6 months ago
Combine User Defined Region-of-Interest and Spatial Layout for Image Retrieval
Content-Based Image Retrieval (CBIR) is one of the most active research areas in recent years. Many visual feature representations have been explored and many systems built. Howev...
Qi Tian, Ying Wu, Thomas S. Huang
SGP
2004
13 years 7 months ago
Geometric Texture Synthesis by Example
Patterns on real-world objects are often due to variations in geometry across the surface. Height fields and other common parametric methods cannot synthesize many forms of geomet...
Pravin Bhat, Stephen Ingram, Greg Turk
ALIFE
2011
12 years 8 months ago
Interactive Evolution of Camouflage
This paper presents an abstract computation model of the evolution of camouflage in nature. The 2d model uses evolved textures for prey, a background texture representing the envi...
Craig Reynolds
CVPR
2006
IEEE
14 years 6 months ago
Quantitative Evaluation of Near Regular Texture Synthesis Algorithms
Near regular textures are pervasive in man-made and natural world. Their global regularity and local randomness pose new difficulties to the state of the art texture analysis and ...
Wen-Chieh Lin, James Hays, Chenyu Wu, Yanxi Liu, V...
SIGGRAPH
2010
ACM
13 years 9 months ago
Synthesizing structured image hybrids
Example-based texture synthesis algorithms generate novel texture images from example data. A popular hierarchical pixel-based approach uses spatial jitter to introduce diversity,...
Eric Risser, Charles Han, Rozenn Dahyot, Eitan Gri...