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Spectral Distance Distributions for Non-rigid Objects 被引量:1
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作者 CAO Wei-guo Li Hai-yang +2 位作者 LI Shi-rui LIU Yu-jie LI Hua 《Computer Aided Drafting,Design and Manufacturing》 2013年第2期17-24,共8页
Non-rigid shape deformation without tearing or stretching is called isometry. There are many difficulties to research non-rigid shape in Euclidean space. Therefore, non-rigid shapes are firstly embedded into a none-Eu... Non-rigid shape deformation without tearing or stretching is called isometry. There are many difficulties to research non-rigid shape in Euclidean space. Therefore, non-rigid shapes are firstly embedded into a none-Euclidean space. Spectral space is chosen in this paper. Then three descriptors are proposed based on three spectral distances. The existence of zero-eigenvalue has negative effects on computation of spectral distance, Therefore the spectral distance should be computed from the first non-zcro-eigenvalue. Experiments show that spectral distance distributions are very effective to describe the non-rigid shapes. 展开更多
关键词 NON-RIGID shape analysis pattern recognization ISOMETRY Laplace-Beltrami operator SPECTRUM
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Spatial information recognizing of ocean eddies based on virtual force field and its application
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作者 LI Ce DU Yunyan SU Fenzhen YANG Xiaomei XU Jun 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2007年第4期44-52,共9页
A new approach to detecting ocean eddies automatically from remote sensing imageries based on the ocean eddy's eigen-pattern in remote sensing imagery and "force field-based shape extracting method" is proposed. Fi... A new approach to detecting ocean eddies automatically from remote sensing imageries based on the ocean eddy's eigen-pattern in remote sensing imagery and "force field-based shape extracting method" is proposed. First, the analysis on extracting eddies' edges from remote sensing imagery using conventional edge detection arithmetic operators is performed and returns digitized vector edge data as a result. Second, attraction forces and fusion forces between edge curves were analyzed and calculated based on the vector eddy edges. Thirdly, the virtual significant spatial patterns of eddy were detected automatically using iterative repetition followed by optimized rule. Finally, the spatial form auto-detection of different types of ocean eddies was done using satellite images. The study verified that this is an effective way to identify and detect the ocean eddy with a complex form. 展开更多
关键词 ocean eddy spatial pattern recognizing force field detection
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