发明名称 |
Spatio-Temporal Image Reconstruction Using Sparse Regression and Secondary Information |
摘要 |
A spatio-temporal image of an object is reconstructed based on captured data characterizing the object. The spatio-temporal image comprises a plurality of spatial images in respective time intervals, and at least a given one of the spatial images in one of the time intervals is reconstructed using not only captured data from a frame associated with that time interval but also captured data associated with one or more additional frames associated with other time intervals. The spatio-temporal image may be reconstructed by iteratively obtaining a solution to a minimization or maximization problem in a sparse domain and transforming the solution to an image domain. The transformation between the sparse domain and the image domain may utilize a spatio-temporal transformation implemented using a plurality of basis functions, one or more of which may be determined at least in part based on secondary information associated with the imaged object. |
申请公布号 |
US2011293193(A1) |
申请公布日期 |
2011.12.01 |
申请号 |
US20100790199 |
申请日期 |
2010.05.28 |
申请人 |
GARG RAHUL;KEDIA MONU;SABHARWAL YOGISH;INTERNATIONAL BUSINESS MACHINES CORPORATION |
发明人 |
GARG RAHUL;KEDIA MONU;SABHARWAL YOGISH |
分类号 |
G06K9/54 |
主分类号 |
G06K9/54 |
代理机构 |
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代理人 |
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地址 |
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