CASIA OpenIR  > 模式识别国家重点实验室  > 先进数据分析与学习
Facade repetition extraction using block matrix based model
Hongfei Xiao; Gaofeng Meng; LingFeng Wang; Shiming Xiang; Chunhong Pan
2014-12
Conference NameIEEE International Conference on Image Processing
Source PublicationInternational Conference on Image Processing (ICIP)
Pages1673-1677
Conference Date2014-12
Conference PlaceParis, France
AbstractRepetition extraction plays an important role in facade image analysis. In this paper, this task is handled within the graph cut based image segmentation framework. To model the repetitions, generalized translation symmetry (GTS) is introduced to enable aperiodic repetition layouts. More importantly, GTS is explicitly formulated in terms of matrix multiplication. That is, GTS is viewed as the product of a repetitive pattern and two block matrices. These two block matrices are employed to represent the vertical and horizontal symmetry respectively. On this basis, repetition extraction is formulated as a GTS constrained energy minimization problem. An alternatively optimization algorithm based on graph cut and dynamic programming is finally developed to solve the problem. Experimental results demonstrate the validity of our method.
KeywordRepetition Extraction Facade Labeling Explicit Formulation Image Segmentation
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/4736
Collection模式识别国家重点实验室_先进数据分析与学习
Corresponding AuthorHongfei Xiao
Affiliation中国科学院自动化研究所
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Hongfei Xiao,Gaofeng Meng,LingFeng Wang,et al. Facade repetition extraction using block matrix based model[C],2014:1673-1677.
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