Abstract: A medium processing apparatus includes a conveyor, a liquid applier, and a crimper. The conveyor conveys a medium. The liquid applier applies liquid to a part of the medium conveyed by the conveyor. The medium is at least one medium. The crimper presses and deforms a bundle of media including the medium to which the liquid is applied by the liquid applier, to bind the bundle of media. The liquid applier includes a liquid application member and a retained liquid amount detector. The liquid application member applies the liquid to a position to be bound by the crimper on the medium. The retained liquid amount detector detects an amount of the liquid retained by the liquid application member.

Abstract: An information processing apparatus sets a first line segment in an image obtained by image capturing, and also sets a second line segment in the image. Then, the information processing apparatus acquires color differences between points on the first line segment and points on the second line segments, and generates a color-difference map based on the acquired color differences.

Abstract: The present invention provides an image processing apparatus for evaluating a surface of an object using a marker including marks whose positional relationship in a case where the marker is arranged in plane is known, the maker being arranged on the surface of the object. The image processing apparatus includes: a first acquisition unit configured to obtain image data obtained by capturing an image of the surface and an image of the marker arranged on the surface; a second acquisition unit configured to obtain information indicating positional relationship among the marks included in the marker; an extraction unit configured to extract the positional relationship among the marks included in the marker in an image indicated by the image data; and a correction unit configured to correct the image data based on the positional relationship indicated by the information and the extracted positional relationship.

Abstract: An image processing apparatus that generates image data for forming a marker to be arranged on a surface of an object on a base material includes a determination unit configured to determine, based on information about a curvature of the surface of the object, an interval between a plurality of marks, in the marker, including a feature representing a shape of the surface of the object, and a generation unit configured to generate the image data based on the interval between the marks determined by the determination unit.

Abstract: The present invention provides an image processing apparatus for evaluating a surface of an object using a marker including marks whose positional relationship in a case where the marker is arranged in plane is known, the maker being arranged on the surface of the object. The image processing apparatus includes: a first acquisition unit configured to obtain image data obtained by capturing an image of the surface and an image of the marker arranged on the surface; a second acquisition unit configured to obtain information indicating positional relationship among the marks included in the marker; an extraction unit configured to extract the positional relationship among the marks included in the marker in an image indicated by the image data; and a correction unit configured to correct the image data based on the positional relationship indicated by the information and the extracted positional relationship.

Abstract: An image processing apparatus that generates image data for forming a marker to be arranged on a surface of an object on a base material includes a determination unit configured to determine, based on information about a curvature of the surface of the object, an interval between a plurality of marks, in the marker, including a feature representing a shape of the surface of the object, and a generation unit configured to generate the image data based on the interval between the marks determined by the determination unit.

Abstract: A control apparatus acquires a group of images, including an image acquired by capturing an image of an object irradiated with first pattern light, an amount of the first pattern light changing periodically, in a predetermined direction, and an image acquired by capturing images of the object irradiated with second pattern light, an amount of the second pattern light changing periodically, in the predetermined direction, and having a phase difference from the first pattern light. The control apparatus also acquires one image by capturing an image of the object irradiated with third pattern light, that provides for identification of a position of at least one period, of a plurality of periods, included in one of the first pattern light and the second pattern light, and calculates a three-dimensional shape of the object based on the group of images and the one image, for each of a plurality of directions.

Abstract: An image processing apparatus acquires information about a bidirectional reflectance distribution function of each pixel, as information about an image to be formed. Further, the image processing apparatus determines color material control information (a color material control amount) for forming color of each pixel of the image, based on the acquired information. Furthermore, the image processing apparatus determines shape information (a shape control amount) for forming a shape of each pixel of the image, based on at least the color material control information, and information indicating a specular spread component in the bidirectional reflectance distribution function of each pixel.

Abstract: A projection unit configured to project a stripe pattern whose luminance changes periodically and a reference position pattern indicating a position of one period of a plurality of periods of the stripe pattern as a reference position; an image capturing unit configured to capture images of a measurement-target object; a control unit configured to control the projection unit and the image capturing unit, to acquire a captured image of the stripe pattern by performing control so that the image capturing unit captures images of the measurement-target object under a plurality of exposure conditions, and to acquire a captured image of the reference position pattern by performing control so that the image capturing unit captures images of the measurement-target object under exposure condition; and a shape calculation unit configured to calculate a three-dimensional shape object based on a captured image of the stripe pattern and the reference position pattern are included.

Abstract: A sensor unit photoelectrically converts received light to output image data. A lens unit condenses light reflected by an object surface to be measured on the sensor unit. A lens control unit controls a geometric condition of rays passing through the lens unit. The sensor unit and the lens control unit are controlled to acquire a multi-angular reflectance property in a neighborhood of a specular reflection direction of the object surface.

Abstract: An image processing apparatus acquires information about a bidirectional reflectance distribution function of each pixel, as information about an image to be formed. Further, the image processing apparatus determines color material control information (a color material control amount) for forming color of each pixel of the image, based on the acquired information. Furthermore, the image processing apparatus determines shape information (a shape control amount) for forming a shape of each pixel of the image, based on at least the color material control information, and information indicating a specular spread component in the bidirectional reflectance distribution function of each pixel.

Abstract: A measurement apparatus comprises a light source of line shape configured to move in a predetermined direction and illuminate a measurement target object, and a capturing unit configured to capture the measurement target object illuminated by the light source of line shape. The measurement apparatus controls the light source of line shape and the capturing unit, and estimates the reflection characteristics of the measurement target object from a plurality of images captured by the capturing unit.

Abstract: A sensor unit photoelectrically converts received light to output image data. A lens unit condenses light reflected by an object surface to be measured on the sensor unit. A lens control unit controls a geometric condition of rays passing through the lens unit. The sensor unit and the lens control unit are controlled to acquire a multi-angular reflectance property in a neighborhood of a specular reflection direction of the object surface.

Abstract: Colorimetric values for generating a color separation table, which are obtained by measuring a plurality of color patches included in a color chart, are input, and measurement values corresponding to the input plural measurement values other than supervised input measurement values are estimated using supervised measurement values. Then, color differences between the estimated measurement values and the input plural measurement values other than the supervised measurement values are calculated. Based on the color differences, it is determined whether printing of the plurality of color patches or measurement of the plurality of color patches has been performed correctly.

Abstract: A measurement apparatus comprises a light source of line shape configured to move in a predetermined direction and illuminate a measurement target object, and a capturing unit configured to capture the measurement target object illuminated by the light source of line shape. The measurement apparatus controls the light source of line shape and the capturing unit, and estimates the reflection characteristics of the measurement target object from a plurality of images captured by the capturing unit.

Abstract: A color value of output color reproduced based on an output signal value corresponding to an input color value of a grid point in an input color space, which is obtained by sampling a range of the output signal value, are estimated. An evaluation value that evaluates tonality between a color value estimated in correspondence with an input color value of a grid point of interest in the input color space and color values estimated in correspondence with input color values of grid points adjacent to the grid point of interest is calculated. When the input color value of the grid point of interest, whose evaluation value is less than a predetermined threshold value, is obtained, an output signal value corresponding to that input signal value is set in the grid point of interest.

Abstract: Color values of output colors reproduced based on output values corresponding to input values of grid points in an input color space, which are obtained by sampling a range of the output values, are estimated. Changes between a color value estimated in correspondence with an input value of a grid point of interest and color values estimated in correspondence with input values of adjacent grid points, changes between an output value of the interest point and output values of the adjacent points, and changes between a plurality of color values estimated in correspondence with input values to the interest point in association with different light sources are evaluated. When the input value of the interest point, whose a sum of evaluation values of these evaluations is less than a threshold, is obtained, an output value corresponding to that input value is set in the interest point.

Abstract: Output signals (pixel values) output from a sensor unit in which image sensors having six kinds of color filters with different colors are arranged are classified in association with three stimulus values, a color number is reduced by performing addition processing of the output signals (pixel values) in each classification to generate an image signal of three bands, and the generated image signal is used for the preview display so that a photographed image can be checked easily and immediately.

Abstract: The number of color patches is reduced to attain high-precision color estimation. Hence, the colorimetric values of a plurality of color patches of at least one primary color output by an output device are input. Based on the colorimetric value of first color patches corresponding to a part of the plurality of color patches, colorimetric values corresponding to second color patches other than the first color patches of the plurality of color patches are estimated. Errors between the input colorimetric values of the second color patches and the estimated colorimetric values corresponding to the second color patches are calculated. A plurality of color patches corresponding to the output device is determined based on the calculated errors.

Abstract: The number of color patches is reduced to attain high-precision color estimation. Hence, the colorimetric values of a plurality of color patches of at least one primary color output by an output device are input. Based on the colorimetric value of first color patches corresponding to a part of the plurality of color patches, colorimetric values corresponding to second color patches other than the first color patches of the plurality of color patches are estimated. Errors between the input colorimetric values of the second color patches and the estimated colorimetric values corresponding to the second color patches are calculated. A plurality of color patches corresponding to the output device is determined based on the calculated errors.