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.

Abstract: An information processing device that detects the position of a subject shot by a camera in a three-dimensional space is provided. The information processing device includes a depth image acquiring section that acquires a depth image in which the distance of a subject in the depth direction from the camera is represented as a pixel value on an image plane, a spatial structure identifying section that identifies the position of a plane forming a predetermined angle with a gravity vector among subject surfaces by detecting a coordinate point collection representing the plane on the basis of the distribution of coordinate points obtained by inverse projection of pixels of the depth image to the three-dimensional space based on the direction of the gravity vector, and a target object extracting section that generates and outputs position information of a predetermined target object on the basis of the position of the plane.

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: An image processing device includes a photon map generator that constructs a virtual three-dimensional space as a rendering target and generates a photon map by distributing photons used for a photon mapping method, a low-luminance region identifying unit that identifies a low-luminance region estimated to have low luminance when the virtual three-dimensional space is projected onto a screen corresponding to a viewpoint by a method different from the photon mapping method, and a rendering part that collects photons corresponding to all pixels based on the photon map with reduction in the collection rate of photons corresponding to a pixel included in the low-luminance region compared with the other region, and calculates radiance to decide a pixel value and generate a display image.