Method and apparatus for estimating a special reflectance distri

Details Method and apparatus for estimating a special reflectance distri Method and apparatus for estimating a special reflectance distri

1995-03-23

1999-01-26

MacDonald, Allen R.

Data processing: artificial intelligence

Neural network

Learning task

706 17, G06F 1518

Patent

active

058648348

ABSTRACT:
A neural network is made to undergo learning such that at least three characteristic parameters, which correspond to an inputted set of color information values when the set of color information values, including at least three color information values, is inputted and which are obtained by multivariate analysis of the spectral reflectance distribution or the spectral transmittance distribution, are outputted. A subject set of color information values is transformed into the characteristic parameters by using the neural network which has completed learning, and a spectral reflectance distribution or a spectral transmittance distribution is estimated by linear polynomial approximation using the transformed characteristic parameters, eigenvectors obtained by the multivariate analysis, and a mean vector of the spectral reflectance distribution or the spectral transmittance distribution.

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Shiro Usui et al., Reconstruction of munsell color space by a five layered neural network, Neural networks, 1990 IEEE International conference, pp. II-515-20.

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