Abstract: An electrode material for aluminum electrolytic capacitors is disclosed, including a sintered body of at least one powder selected from the group consisting of an aluminum powder and an aluminum alloy powder on at least one surface of an aluminum foil substrate or an aluminum alloy foil substrate, wherein (1) the sintered body has a total thickness of 50 to 900 ?m, (2) the powder in the sintered body has a 10% particle size D10 in a number-based particle size distribution of 1.0 to 1.8 ?m, (3) the powder in the sintered body has a 50% particle size D50 in the number-based particle size distribution of 2.0 to 3.5 ?m, and (4) the powder in the sintered body has a 90% particle size D90 in the number-based particle size distribution of 3.8 to 6.0 ?m.

Abstract: An image obtaining section of an information processing apparatus obtains polarized light images in a plurality of directions from an imaging device provided to a moving body. A polarization degree obtaining section of an image analyzing section obtains a degree of polarization on the basis of direction dependence of luminance of polarized light. A high polarization degree region evaluating section detects the peripheral edge of a play field on which the moving body is present, by evaluating the shape of a high polarization degree region having degrees of polarization higher than a threshold value in a state in which the high polarization degree region is overlooked. An output data generating section generates and outputs output data for avoiding movement to the peripheral edge.

Abstract: A captured image obtainment unit in an image processing apparatus obtains multiple sets of polarized images that have been captured while causing image capturing states to differ. For each polarized image, a polarization degree obtainment unit obtains a degree of polarization for an image of a target object. An image selection unit in a material information estimation unit, on the basis of the degree of polarization or additional information, selects an input image and a type thereof. An algorithm switching unit, on the basis of the degree of polarization or additional information, switches an algorithm used in material information estimation. An estimation unit uses the input image to estimate material information using the algorithm that was switched to. An output data generation unit generates an image using the material information and outputs the image to a display apparatus.

Abstract: In an information processing apparatus, a captured image acquiring section acquires data of an image captured of a reference object while part of incident light applied thereto is being blocked. An incident light information acquiring section acquires, according to a predetermined model equation, a brightness distribution of partial incident light in each of light-blocked states on the basis of the image of the reference object, and acquires a brightness distribution of overall incident light by calculating brightness distributions of partial incident light. A target information acquiring section acquires the shape and material of a target by using the brightness distribution of overall incident light.

Abstract: An image acquisition section of an information processing apparatus acquires, from an imaging apparatus, polarization images in a plurality of orientations. A normal acquisition section of an image analysis section detects a surface of a subject by acquiring a normal vector on the basis of orientation dependence of polarization luminance. A surface assumption section assumes the presence of an undetected surface continuing from the detected surface. A subject detection section confirms whether or not the assumed surface is present using a normal vector estimated for the assumed surface. An output data generation section generates and outputs output data using information regarding the detected surface.

Abstract: In an information processing apparatus, a captured image acquiring section acquires data of an image captured of a reference object while part of incident light applied thereto is being blocked. An incident light information acquiring section acquires, according to a predetermined model equation, a brightness distribution of partial incident light in each of light-blocked states on the basis of the image of the reference object, and acquires a brightness distribution of overall incident light by calculating brightness distributions of partial incident light. A target information acquiring section acquires the shape and material of a target by using the brightness distribution of overall incident light.

Abstract: An input information acquiring section accepts a user's operation. A texture region acquiring section acquires a region of a display image to be presented by use of a texture. A velocity acquiring section acquires for each pixel a movement velocity vector of the texture on a plane of the display image. A texture referencing section adjusts a reference range in an axial direction of the velocity vector in keeping with a magnitude of the movement velocity, before sampling texel values. A pixel value determining section determines a pixel value on the basis of the texel values. An output section outputs the display image.

Abstract: A prediction device includes one or more processors configured to record a number of moving objects staying in a predetermined production area for every predetermined period, record an actual production index for each predetermined period, estimate a correlation coefficient by using training data that associates the number of moving objects staying in the predetermined production area with the actual production index for the predetermined period, and calculate a predicted production index for a target period based on a number of moving objects staying for the target period, using the correlation coefficient.

Abstract: An information processing apparatus determines a plurality of sampling points in a range of a target object's silhouette having different specular reflectances in polarization images in a plurality of azimuths, extracts polarization luminance at the sampling points in question, and derives change in luminance relative to the polarization azimuth, thus acquiring, as a phase angle, the azimuth that provides the highest luminance. Then, the information processing apparatus evaluates a characteristic of the change in phase angle relative to the change in the specular reflectance, thus identifying a subject's surface roughness. Further, the information processing apparatus generates data to be output by performing a process according to the surface roughness and outputs the generated data.

Abstract: A captured image acquisition section of an information processing apparatus acquires polarization image data including polarization information in a plurality of azimuths. An imaging apparatus information acquisition section acquires information regarding a position and posture of an imaging apparatus. A viewpoint control section of a subject information acquisition section controls a plurality of viewpoints from which polarization images are captured. A point-of-interest information acquisition section sets a pixel of interest having a degree of polarization equal to or higher than a threshold in a polarization image of a first viewpoint, identifies a pixel representing the same point of interest in a polarization image of a second viewpoint, and then obtains a line of intersection between incident planes acquired for the respective viewpoints as a normal vector. An output data generation section generates output data based on results thereof and outputs the data.

Abstract: An image acquisition section of an information processing apparatus acquires, from an imaging apparatus, polarization images in a plurality of orientations. A normal acquisition section of an image analysis section detects a surface of a subject by acquiring a normal vector on the basis of orientation dependence of polarization luminance. A surface assumption section assumes the presence of an undetected surface continuing from the detected surface. A subject detection section confirms whether or not the assumed surface is present using a normal vector estimated for the assumed surface. An output data generation section generates and outputs output data using information regarding the detected surface.

Abstract: A point-of-interest information acquisition section of an information processing apparatus acquires, by using a polarization image captured from a viewpoint of an imaging apparatus, an incident plane relative to the viewpoint at a point of interest ‘a’ on a subject. A viewpoint control section determines a direction of movement of the imaging apparatus in such a manner as to suitably acquire an angle formed with the incident plane and presents the direction to a user. When the post-movement viewpoint of an imaging apparatus is determined to be appropriate, an incident plane at the point of interest ‘a’ is acquired by using the captured polarization image, and a line of intersection with the incident plane is assumed to be a normal vector n of the point of interest ‘a.

Abstract: A point-of-interest information acquisition section of an information processing apparatus acquires, by using a polarization image captured from a viewpoint of an imaging apparatus, an incident plane relative to the viewpoint at a point of interest ‘a’ on a subject. A viewpoint control section determines a direction of movement of the imaging apparatus in such a manner as to suitably acquire an angle formed with the incident plane and presents the direction to a user. When the post-movement viewpoint of an imaging apparatus is determined to be appropriate, an incident plane at the point of interest ‘a’ is acquired by using the captured polarization image, and a line of intersection with the incident plane is assumed to be a normal vector n of the point of interest ‘a.

Abstract: A captured image acquisition section of an information processing apparatus acquires polarization image data including polarization information in a plurality of azimuths. An imaging apparatus information acquisition section acquires information regarding a position and posture of an imaging apparatus. A viewpoint control section of a subject information acquisition section controls a plurality of viewpoints from which polarization images are captured. A point-of-interest information acquisition section sets a pixel of interest having a degree of polarization equal to or higher than a threshold in a polarization image of a first viewpoint, identifies a pixel representing the same point of interest in a polarization image of a second viewpoint, and then obtains a line of intersection between incident planes acquired for the respective viewpoints as a normal vector. An output data generation section generates output data based on results thereof and outputs the data.

Abstract: An image obtaining section of an information processing apparatus obtains polarized light images in a plurality of directions from an imaging device provided to a moving body. A polarization degree obtaining section of an image analyzing section obtains a degree of polarization on the basis of direction dependence of luminance of polarized light. A high polarization degree region evaluating section detects the peripheral edge of a play field on which the moving body is present, by evaluating the shape of a high polarization degree region having degrees of polarization higher than a threshold value in a state in which the high polarization degree region is overlooked. An output data generating section generates and outputs output data for avoiding movement to the peripheral edge.

Abstract: Provided is an image processing apparatus that: acquires a depth map that includes information that indicates a distance up to a subject in an actual space, the depth map including, for each of one or a plurality of areas in the depth map, information regarding the distance up to a subject portion that appears in the area and regarding a color component of the subject portion; and generates a composite image in which a virtual object is arranged in a scene image that represents a scene of the actual space. The image processing apparatus determines a display color of the virtual object on the basis of the distance up to the subject portion that appears in the depth map and the color component thereof.

Abstract: An information processing apparatus determines a plurality of sampling points in a range of a target object's silhouette having different specular reflectances in polarization images in a plurality of azimuths, extracts polarization luminance at the sampling points in question, and derives change in luminance relative to the polarization azimuth, thus acquiring, as a phase angle, the azimuth that provides the highest luminance. Then, the information processing apparatus evaluates a characteristic of the change in phase angle relative to the change in the specular reflectance, thus identifying a subject's surface roughness. Further, the information processing apparatus generates data to be output by performing a process according to the surface roughness and outputs the generated data.

Abstract: An input information acquiring section accepts a user's operation. A texture region acquiring section acquires a region of a display image to be presented by use of a texture. A velocity acquiring section acquires for each pixel a movement velocity vector of the texture on a plane of the display image. A texture referencing section adjusts a reference range in an axial direction of the velocity vector in keeping with a magnitude of the movement velocity, before sampling texel values. A pixel value determining section determines a pixel value on the basis of the texel values. An output section outputs the display image.

Abstract: An imaging device includes a filter, imaging elements, and an image processing section. The filter has a plurality of regions transmitting different light components. The imaging elements detect a luminance distribution of polarization components in a plurality of directions of light transmitted by the filter. The image processing section analyzes the detected luminance distribution based on correlation between the components, thereby generating a plurality of items of information about a subject.

Abstract: Provided is an image processing apparatus that: acquires a depth map that includes information that indicates a distance up to a subject in an actual space, the depth map including, for each of one or a plurality of areas in the depth map, information regarding the distance up to a subject portion that appears in the area and regarding a color component of the subject portion; and generates a composite image in which a virtual object is arranged in a scene image that represents a scene of the actual space. The image processing apparatus determines a display color of the virtual object on the basis of the distance up to the subject portion that appears in the depth map and the color component thereof.