Abstract: In an imaging element 28, a first light detecting layer 12 includes an organic photoelectric conversion film 38 that detects light of a predetermined wavelength band and carries out photoelectric conversion, and photoelectrically converts incident light on the imaging element and light reflected from a wire grid polarizer layer 14. The wire grid polarizer layer 14 includes polarizers 48 in which linear materials that do not allow transmission of light therethrough are arranged at intervals shorter than the wavelength of the incident light. A second light detecting layer 16 includes photoelectric conversion elements 54 that photoelectrically convert light transmitted through the polarizers 48.

Abstract: A feeling deduction unit 100 deduces a user's feeling. An internal state management unit 110 manages an internal state of an object and an internal state of a user on the basis of the deduced user's feeling. An action management unit 120 determines an action of the object on the basis of the internal state of the object. An output processing unit 140 causes the object to perform the action determined by the action management unit 120.

Abstract: A RIP simulation device that enables a rapid grasp of a part having a problem in RIP speed and a specific detail of the problem is achieved. While the RIP prediction screen is displayed on a display unit, the result display control unit causes the display unit to display a sheet number corresponding to a position that is on a line graph representing a predicted RIP time for each sheet and is being designated by an input operation unit. When a sheet number displayed on the display unit is selected by the input operation unit, the result display control unit causes the display unit to display an analysis result screen indicating an analysis result related to the page corresponding to the sheet number on the basis of the correspondence relationship between sheets and pages when print output is actually executed.

Abstract: A sample image obtaining section repetitively obtains a sample image generated by photographing a given sample by a photographing unit. A feature quantity extracting section generates feature quantity data corresponding to the sample image, in reference to the sample image. The feature quantity extracting section classifies each of a plurality of pieces of feature quantity data into either training data or evaluation data. An evaluation learning section performs learning of an evaluation discriminator by using a plurality of pieces of the training data. A photographing necessity/unnecessity determining section determines necessity/unnecessity of additional photographing of the sample by using the evaluation discriminator in which the learning using the plurality of pieces of the training data has already been performed and a plurality of pieces of the evaluation data.

Abstract: A RIP simulation device that enables a rapid grasp of a part having a problem in RIP speed and a specific detail of the problem is achieved. While the RIP prediction screen is displayed on a display unit, the result display control unit causes the display unit to display a sheet number corresponding to a position that is on a line graph representing a predicted RIP time for each sheet and is being designated by an input operation unit. When a sheet number displayed on the display unit is selected by the input operation unit, the result display control unit causes the display unit to display an analysis result screen indicating an analysis result related to the page corresponding to the sheet number on the basis of the correspondence relationship between sheets and pages when print output is actually executed.

Abstract: A feature acquiring section 100 obtains feature data of a target person. A matching degree deriving section 110 derives a matching degree between the feature data and feature data of a registered user stored in a feature amount database 120. An identifying section 130 determines that the target person is the registered user in a case where the matching degree is greater than or equal to a first threshold, and determines that the target person is not the registered user in a case where the matching degree is less than a second threshold smaller than the first threshold. An action management section 140 sets an action mode of an acting subject according to the matching degree.

Abstract: An information processing apparatus determines, on the basis of a speech of a user to be evaluated, a reference feature quantity representing a feature of the user's speech at normal times, acquires audio feature quantity data of a target speech to be evaluated made by the user, and evaluates the feature of the target speech on the basis of a comparison result between the audio feature quantity of the target speech and the reference feature quantity.

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: After specifying a processing target (target data), a requirement for printing is set. A simulation of a RIP process is performed on the target data under a plurality of printing conditions which are set in advance. Then, based on simulation results, a print-target identifying record is registered in a continuous printing list so as to satisfy the set requirement. After rearranging print-target identifying records registered in the continuous printing list, continuous printing is performed based on the continuous printing list.

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: Data of a captured image including a polarized image is acquired (S10), and space information relating to a position and a posture of a subject in a real space and the position and the posture on an imaging plane is acquired using the captured image data (S12). Next, a polarization degree distribution is acquired from a polarized image of a plurality of orientations (S14), and a position of a light source is acquired by specifying an image of a true light source by threshold value determination of the polarization degree (S16). A reflection characteristic is acquired by applying a rendering equation under assumption that luminance of the captured image is already known (S18), and a material suitable therewith is specified as a material of the subject (S20). Processing according to the material is performed to generate output data and output the data (S22).

Abstract: After specifying a processing target (target data), a requirement for printing is set. A simulation of a RIP process is performed on the target data under a plurality of printing conditions which are set in advance. Then, based on simulation results, a print-target identifying record is registered in a continuous printing list so as to satisfy the set requirement. After rearranging print-target identifying records registered in the continuous printing list, continuous printing is performed based on the continuous printing list.

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: A captured image acquisition section 50 acquires, from an imaging apparatus 12, data of a polarized image obtained by capturing a target object and stores the data into an image data storage section 52. A region extraction section 60 of a target object recognition section 54 extracts a region in which a figure of the target object is included in the polarized image. A normal line distribution acquisition section 62 acquires a distribution of normal line vectors on a target object surface in regard to the extracted region. A model adjustment section 66 adjusts a three-dimensional model of the target object stored in a model data storage section 64 in a virtual three-dimensional space such that the three-dimensional model conforms to the distribution of the normal line vectors acquired from the polarized image to specify a state of the target object.

Abstract: A captured image acquisition section 50 acquires, from an imaging apparatus 12, data of a polarized image obtained by capturing a target object and stores the data into an image data storage section 52. A normal line distribution acquisition section 362 of a region segmentation section 310 acquires a distribution of normal line vectors of a subject surface using the polarized image. A region decision section 312 evaluates the distribution of normal line vectors with a predetermined criterion indicating stability such as a dispersion and determines a region in which the stability is high as a region of a figure of a subject to segment the image. An output data generation section 56 carries out various processes using a result of the segmentation to generate output data.

Abstract: [Object] To perform more stable and highly accurate attitude estimation. [Solution] The attitude optimization unit optimizes the articulation position, the angle, the number of articulations, and the like which are attitude parameters of a human body model (tree structure) by a plurality of optimization techniques so as to match a region in which a human body can exist, and switches among a plurality of optimization techniques and uses an optimum technique. Note that optimization techniques include 1. initial value, 2. algorithm, and 3, restriction, and optimization is performed by switching among these three. For example, it is possible to apply the present disclosure to an image processing device that performs image processing of optimizing the articulation position and angle of a human body model.

Abstract: Data of a captured image including a polarized image is acquired (S10), and space information relating to a position and a posture of a subject in a real space and the position and the posture on an imaging plane is acquired using the captured image data (S12). Next, a polarization degree distribution is acquired from a polarized image of a plurality of orientations (S14), and a position of a light source is acquired by specifying an image of a true light source by threshold value determination of the polarization degree (S16). A reflection characteristic is acquired by applying a rendering equation under assumption that luminance of the captured image is already known (S18), and a material suitable therewith is specified as a material of the subject (S20). Processing according to the material is performed to generate output data and output the data (S22).

Abstract: A mat for an image pickup apparatus, where the image pickup apparatus operates to recognize a real object, the mat includes: a play field that defines a bottom region of a space in which the real object is placed; and a calibration chart located in the space and having a plurality of color regions in which respective luminances thereof differ from one another, where: the image pickup apparatus: (i) obtains data of a picked up image of the space in which the real object is located; and (ii) evaluates the picked up image and adjusts at least one of an image pickup condition in which the picked up image of the space is taken, and a processing condition in which the data are analyzed to recognize the real object, and at least one of the image pickup condition and the processing condition are adjusted based on color information in the data of the picked up image resulting from the plurality of color regions of the calibration chart.