CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Feature-aware natural texture synthesis
Wu, Fuzhang1; Dong, Weiming1; Kong, Yan1; Mei, Xing1; Yan, Dong-Ming1,2; Zhang, Xiaopeng1; Paul, Jean-Claude3
Source PublicationVISUAL COMPUTER
2016
Volume32Issue:1Pages:43-55
SubtypeArticle
AbstractThis article presents a framework for natural texture synthesis and processing. This framework is motivated by the observation that given examples captured in natural scene, texture synthesis addresses a critical problem, namely, that synthesis quality can be affected adversely if the texture elements in an example display spatially varied patterns, such as perspective distortion, the composition of different sub-textures, and variations in global color pattern as a result of complex illumination. This issue is common in natural textures and is a fundamental challenge for previously developed methods. Thus, we address it from a feature point of view and propose a feature-aware approach to synthesize natural textures. The synthesis process is guided by a feature map that represents the visual characteristics of the input texture. Moreover, we present a novel adaptive initialization algorithm that can effectively avoid the repeat and verbatim copying artifacts. Our approach improves texture synthesis in many images that cannot be handled effectively with traditional technologies.
KeywordTexture Synthesis Texture Feature Analysis Composite Texture Feature-aware Synthesis
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s00371-014-1054-y
WOS KeywordIMAGE ; SEGMENTATION
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61172104 ; 61271430 ; 61201402 ; 61372184 ; 61372168 ; 61331018)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Software Engineering
WOS IDWOS:000371666800005
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/11087
Collection模式识别国家重点实验室_多媒体计算与图形学
Affiliation1.Chinese Acad Sci, Inst Automat, LIAMA NLPR, Beijing, Peoples R China
2.King Abdullah Univ Sci & Technol, Visual Comp Ctr, Thuwal, Saudi Arabia
3.INRIA, Project CAD, Paris, France
Recommended Citation
GB/T 7714
Wu, Fuzhang,Dong, Weiming,Kong, Yan,et al. Feature-aware natural texture synthesis[J]. VISUAL COMPUTER,2016,32(1):43-55.
APA Wu, Fuzhang.,Dong, Weiming.,Kong, Yan.,Mei, Xing.,Yan, Dong-Ming.,...&Paul, Jean-Claude.(2016).Feature-aware natural texture synthesis.VISUAL COMPUTER,32(1),43-55.
MLA Wu, Fuzhang,et al."Feature-aware natural texture synthesis".VISUAL COMPUTER 32.1(2016):43-55.
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