Toyota Jidosha Kabushiki Kaisha

Kabushiki Kaisha Toyota Chuo Kenkyusho

Toyoto Jidosha Kabushiki Kaisha

Atsushi Takagi

Hitoshi Takaoka

Kazuhiko Suzuki

Shinsuke Sato

Yoshinori Ogata

Junji Ishida

Hiroyoshi Tsuji

Goro Baba

Junji Nagasaka

Daisuke Iwamoto

Keiko Watanabe

It is determined whether a repeating pattern is present in an image (). When no repeating pattern is present, the image is divided into patch images, the resultant patch images are used to create a random repeating pattern, and the random repeating pattern is output (). In addition, when the number of repetitions of the repeating pattern in the image is 2&#xd7;2 or more (), the repetition period is determined by transforming pixel values into frequency coefficients, and the repeating pattern is extracted based on the result of determining the repetition period, and is output (). When the number of repetitions of the repeating pattern in the image is less than 2&#xd7;2, the repetition period is determined by performing division using local maximum values of autocorrelation coefficients, and the repetition pattern is extracted based on the result of determining the repetition period ().

Image processing system, image processing program, and image processing method

A units of red {u-u}, B units of green {v-v} and C units of blue {w-w} are sampled and measurements are performed, and an interpolation equation is found from the A&#xd7;B&#xd7;C units of data in three-dimensions (L*, a*, b*) that are obtained. Firstly, A units of point sequence data in 3&#xd7;B&#xd7;C dimensions are least squares approximated for the parameters u, and Mu control points in 3&#xd7;B&#xd7;C dimensions are found. Then, B units of point sequence data in 3&#xd7;C&#xd7;Mu dimensions are least squares approximated for the parameters v, and Mv control points in 3&#xd7;C&#xd7;Mu dimensions are found. Next, C units of point sequence data in 3&#xd7;Mu&#xd7;Mv dimensions are least squares approximated for the parameters w, and Mw control points in 3&#xd7;Mu&#xd7;Mv dimensions are found. Then, output values (L*,a*,b*) corresponding to arbitrary input values (Red,Green,Blue) can be obtained by an interpolation equation according to Mu&#xd7;Mv&#xd7;Mw final control points in three dimensions and basis functions used in the least squares approximations.

Color reproduction method using B-spline approximation

A reflectance of a color shifted painting color is also measured conveniently. A first reflectance R(&#x3b1;) of a first reflected light Vinside an incident plane A is measured, and a first locus l of termini of first bisection vectors H(|H|=|R(&#x3b1;)|), which displaces two-dimensionally inside the incident plane A, is determined. A second reflectance R(&#x3b1;) of a second reflected light Voutside the incident plane A is measured, and a second locus m of termini of second bisection vectors H(|H|=|R(&#x3b1;)|), which displaces three-dimensionally outside the incident plane A, is measured. A locus n (x, y, z) of a terminus of a bisection vector Hon a plane z=z that is parallel to a plane under measurement is approximately modeled with a numerical equation showing an ellipse from the first locus l and the second locus m, thereby determining an approximation model equation, and an overall locus n' (x, y, z) of the overall termini of bisection vectors H&#x2032; of reflected lights V&#x2032; other than the first reflected light Vand the second reflected light Vis approximately determined.

Method for estimating reflectance

A reference-color measurement step of obtaining a reference-color measurement value by measuring a spectroscopic-radiation luminance of a light being emitted from a reference-color portion in a measurement direction, or a tristimulus value thereof, using a light-source-color measuring instrument, without irradiating the reference-color portion with a light source for measurement, in a predetermined measurement environment, is disclosed. An objective-portion measurement step of obtaining an objective-portion measurement value by measuring a spectroscopic-radiation luminance of a light being emitted from a measurement-objective portion in the measurement direction, or a tristimulus value thereof, using the light-source-color measuring instrument, without irradiating the measurement-objective portion with a light source for measurement, in the measurement environment, is also disclosed.

Color-measuring method for body and color-measuring apparatus

At first, a sample for obtaining light measurement data is set to obtain reflectances. After setting an arbitrary wavelength &#x3bb;, a principal component analysis is executed to obtain an eigenvalue 1 and an eigenvector b. Then a basic equation for reflectance is determined by deriving a coefficient k, utilizing a known reflectance of an object of which reflectance is to be estimated. Thereafter a process of deriving a reflectance at an arbitrary displacement angle is executed for all the wavelengths, for example over a visible wavelength range. In this manner, the reflectance of an object at an arbitrary displacement angle can easily be obtained by utilizing the basic equation for the reflectance derived from the eigenvector obtained from the principal component analysis of the measured data.

Reflectance estimating method

Color matching method wherein relatively small number of input color data sets (Xn, Rn) are applied to first image processor, to obtain the corresponding output color data sets (Rn, Xn) which are interpolated to obtain relatively large number of output color data sets, which are used to obtain relatively large number of the corresponding input color data sets by inverse estimation, for obtaining first high-resolution input-output relationship Rn&equals;f (Xn) or Xn&equals;f (Rn) of the first image processor, and wherein second high-resolution input-output relationship (Xn&equals;f (Rn) or Xn&equals;f (Rn) of second image processor is similarly obtained, so that a color data correlationship Rn(SG )&equals;f(Rn(SG )) or Rn(SG )&equals;f(Rn(SG )) for converting the relatively large number of input color data sets of the first image processor into the relatively large number of input color data sets of the second image processor is obtained according to the first and second high-resolution input-output relationships.

Method of color matching between color image processing devices, by interpolation of relatively small number of color data sets

A ray tracing method including the steps of: emitting a ray from a viewpoint, which is set at a predetermined position, toward a lamp; ray tracing a ray which has been stochastically selected as a ray which reaches a light source of the lamp; and analyzing at least one of illuminance at a predetermined position on a surface illuminated by the lamp, luminance at a predetermined position on a surface of the lamp, and a color state of the lamp.

Ray tracing method

By inputting a predetermined number of first data to a color reproducing device, a predetermined number of reproduced colors are respectively measured, and a plurality of relationships of correspondence between inputted first data and measured second data are determined. On the basis of the plurality of relationships of correspondence between the first data and the second data, relationships of interpolated correspondence, which express relationships between second data other than the measured second data and first data corresponding to the second data other than the measured second data, are estimated. After second data which is the same as or closest to a color to be reproduced is selected, first data corresponding to selected second data is selected on the basis of the relationships of correspondence and the relationships of interpolated correspondence. Selected first data is then inputted to the color reproducing device, and a color to be reproduced is reproduced.

Color reproducing device for reproducing matched colors and an

A rendering apparatus includes: a radiant-energy calculating device for determining a spectral radiance for each infinitesimal area of an object by using a spectral radiance of a light source irradiating the object, a spectral reflectance in the infinitesimal area of the object, and a spectral reflectance factor in a wide area of the object; a color-specification-value calculating device for calculating color specification values of a colorimetric system on the basis of the spectral radiance obtained for each infinitesimal area; a transforming device for transforming the color specification values into image data for displaying an image of the object; and a display device for displaying the image of the object on the basis of the image data.

Rendering apparatus, multispectral image scanner, and three-dimensional

A color graphic display device for providing a color image of an object, including three data memories, a device for preparing display data according to the data stored in the memories, and a color graphic display for providing or displaying the color image of the object according to the display data. The first data memory stores profile data associated with a profile of the object, and the second data memory stores incident-radiation data associated with a spectral distribution of a radiation to be incident upon a surface of the object. The third data memory stores reflection-characteristic data associated with spectral reflection characteristics of the surface of the object.

Growing community of inventors

Toyota, Japan

Atsushi Takagi