中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Re-texturing by intrinsic video

文献类型:期刊论文

作者Shen, Jianbing1; Yan, Xing1; Chen, Lin1; Sun, Hanqiu2; Li, Xuelong3
刊名information sciences
出版日期2014-10-10
卷号281页码:726-735
关键词Re-texturing Intrinsic video Energy optimization Normal recovery
ISSN号0020-0255
英文摘要in this paper, we present a novel re-texturing approach using intrinsic video. our approach first indicates the regions of interest by contour-aware layer segmentation. the intrinsic video including reflectance and illumination components within the segmented region is recovered by our weighted energy optimization. we then compute the texture coordinates in key frames and the normals for the re-textured region using the optimization approach we develop. meanwhile, the texture coordinates in non-key frames are optimized by our energy function. when the target sample texture is specified, the re-textured video is finally created by multiplying the re-textured reflectance component with the original illumination component within the replaced region. as shown in our experimental results, our method can produce high quality video re-texturing results with a variety of sample textures, and also the lighting and shading effects of the original videos are well preserved after re-texturing. (c) 2014 elsevier inc. all rights reserved.
WOS标题词science & technology ; technology
类目[WOS]computer science, information systems
研究领域[WOS]computer science
关键词[WOS]optical-flow estimation ; image decomposition ; segmentation ; optimization ; algorithms
收录类别SCI ; EI
语种英语
WOS记录号WOS:000340315600051
公开日期2015-03-18
源URL[http://ir.opt.ac.cn/handle/181661/22388]  
专题西安光学精密机械研究所_光学影像学习与分析中心
作者单位1.Beijing Inst Technol, Sch Comp Sci, Beijing Lab Intelligent Informat Technol, Beijing 100081, Peoples R China
2.Chinese Univ Hong Kong, Dept Comp Sci & Engn, Shatin, NT, Peoples R China
3.Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714
Shen, Jianbing,Yan, Xing,Chen, Lin,et al. Re-texturing by intrinsic video[J]. information sciences,2014,281:726-735.
APA Shen, Jianbing,Yan, Xing,Chen, Lin,Sun, Hanqiu,&Li, Xuelong.(2014).Re-texturing by intrinsic video.information sciences,281,726-735.
MLA Shen, Jianbing,et al."Re-texturing by intrinsic video".information sciences 281(2014):726-735.

入库方式: OAI收割

来源:西安光学精密机械研究所

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