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- W2725334258 abstract "In this research, we proposed two methods for estimating full hand dimensions from a small number of known dimensions for reconstructing individual hand model. In both methods, the problem is reduced to the estimation of coefficients for the corresponding eigen vectors of hand dimensions computed from database including 55 dimensions of 529 subjects. In the first method, the coefficients were approximated by multiple regression analysis given the known dimensions as independent variables. The second method was mathematically strict where the coefficients were computed by multiplying pseudo inverse of the eigen matrix and singular value matrix to the known dimensions. For comparing the performance, we conducted leave-one-out cross validation by using the database. The mean absolute difference (MAD) in both methods gradually decreased as the number of dimensions in the known dimension set increased. However, there was different trend between the MAD of known dimensions in both methods." @default.
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- W2725334258 date "2015-01-01" @default.
- W2725334258 modified "2023-09-25" @default.
- W2725334258 title "1A1-X01 Missing value estimation for reconstructing individual hand from a small number of known dimensions" @default.
- W2725334258 doi "https://doi.org/10.1299/jsmermd.2015._1a1-x01_1" @default.
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