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Local interaction fields and adaptive regularizers for surface reconstruction and image relaxation
Yang, ZY; Ma, SD
1998-02-01
发表期刊NETWORK-COMPUTATION IN NEURAL SYSTEMS
卷号9期号:1页码:19-37
文章类型Article
摘要A set of novel local interaction fields associated with input point data and adaptive regularizers are introduced for some problems in image processing and early-middle vision. The local interaction field is used to take the place of the delta-error term in conventional approaches. It consists of two parts; one is the usual error term, the other is a window function whose shape, size and orientation can be adapted to local structures in specific applications. Unlike the usual delta-error term, local interaction fields favour local flatness and thus impose smoothing implicitly. Several adaptive regularizers are introduced to keep discontinuities while smoothing. In finding solutions, even the simplest gradient descent algorithm is efficient in many examples. The results are stable under varying parameters and quite robust against noise.
WOS标题词Science & Technology ; Technology ; Life Sciences & Biomedicine
关键词[WOS]RESTORATION
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering ; Neurosciences & Neurology
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Neurosciences
WOS记录号WOS:000072810100002
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9776
专题09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
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Yang, ZY,Ma, SD. Local interaction fields and adaptive regularizers for surface reconstruction and image relaxation[J]. NETWORK-COMPUTATION IN NEURAL SYSTEMS,1998,9(1):19-37.
APA Yang, ZY,&Ma, SD.(1998).Local interaction fields and adaptive regularizers for surface reconstruction and image relaxation.NETWORK-COMPUTATION IN NEURAL SYSTEMS,9(1),19-37.
MLA Yang, ZY,et al."Local interaction fields and adaptive regularizers for surface reconstruction and image relaxation".NETWORK-COMPUTATION IN NEURAL SYSTEMS 9.1(1998):19-37.
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