CASIA OpenIR  > 模式识别国家重点实验室  > 先进数据分析与学习
FINE-STRUCTURED OBJECT SEGMENTATION VIA LOCAL AND NONLOCAL NEIGHBORHOOD PROPAGATION
Gong, Yongchao; Xiang, Shiming; Wang, Lingfeng; Pan, Chunhong
2015-09
Conference NameIEEE International Conference on Image Processing
Pages4619-4623
Conference Date2015-9-27 ~ 2015-9-30
Conference PlaceQuébec City, Canada
AbstractIn this paper, we present a novel method for the challenging task of fine-structured (FS) object segmentation. This task is formulated as a label propagation problem on an affinity graph. To enhance the completeness and connectivity of the FS objects, we introduce a novel neighborhood system combining both local and nonlocal connections, together with a robust scheme for edge weight calculation. Additionally, region cost is incorporated into the energy function to further maintain the connectivity of fine parts where the propagation is hard to reach. An appealing advantage of the proposed method is that the energy minimization has a closed-form solution and global optimum is guaranteed. Comparative experimental results on three datasets demonstrate the effectiveness of the proposed method.
KeywordFine-structured (Fs) Object Segmentation Affinity Graph Local And nonLocal Neighborhood System Region Cost Closed-form Solution
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/14489
Collection模式识别国家重点实验室_先进数据分析与学习
AffiliationNational Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Gong, Yongchao,Xiang, Shiming,Wang, Lingfeng,et al. FINE-STRUCTURED OBJECT SEGMENTATION VIA LOCAL AND NONLOCAL NEIGHBORHOOD PROPAGATION[C],2015:4619-4623.
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