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- W2394373140 abstract "Presents the new algorithm developed utilizing the data regularization technique,from the model data and image data at key points of two_perspective_view,which robustly and accurately recovers the 3D_vision information of an object from its two_perspective_view data,and points out that when the constringent mapping of the minimal subset is a non_linear operation,the minimal subset can be changed by increasing dimensions of sampling subset into the minimal redundant subset and the non_linear operation into a linear operation with unique solution and redundant information with increased dimensions will be treated as valid criterion of validity and optimization of the sampling subset,and concludes from experimental results that the algorithm is able to work well with high acuracy under very hard condition of heavy noise and high outlier rate." @default.
- W2394373140 created "2016-06-24" @default.
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- W2394373140 date "2001-01-01" @default.
- W2394373140 modified "2023-09-25" @default.
- W2394373140 title "ROBUST AND ACCURATE 3D RECOVERY OF AN OBJECT FROM ITS TWO PERSPECTIVE VIEWS" @default.
- W2394373140 hasPublicationYear "2001" @default.
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