Abstract: Provided is art capable of recognizing the states of a plurality of target objects arranged in a prescribed space region. This target object recognition device is provided with: a plurality of calculation processing units (21, 22) which each calculate the attitude state of a target object in a prescribed space region using a different technique; a state recognition unit (23) which recognizes the layout state of all of a plurality of target objects arranged in the space region; a method determination unit (24) which, in accordance with the result of the recognition by the state recognition unit (23), determines a method for using the results of the calculation performed by the calculation processing units (21, 22); and a target object recognition unit (25) which recognizes the attitude states of the target objects by means of the determined method for using the results of the calculation.

Abstract: The information processing device includes: a first input unit for generating a three-dimensional model of an object to be recognized; a template generation unit that generates, on the basis of the three-dimensional model information, a two-dimensional template which shows the shape of the upper edge of the object to be recognized; a coordinate relationship identification unit that generates coordinate relationship information indicating the relationship between three-dimensional coordinates of the three-dimensional model and two-dimensional coordinates when the three-dimensional model is imaged; a second input unit that receives the input of the captured image; a matching unit that matches the captured image and the two-dimensional template; and a recognition unit that recognizes the three-dimensional position and posture of the object to be recognized by referencing the coordinate relationship information, which is detected according to the results of the two-dimensional matching by the matching unit.

Abstract: In a first mode, a direction of a first control is determined based on a component in a first axial direction of a difference between a first reference coordinate point and a coordinate point of a coordinate input, and a direction of a second control is determined based on a component in a second axial direction. In a second mode, the direction of the first control is determined based on a component in a third axial direction of a difference between a first region reference coordinate point and a coordinate point of the coordinate input performed in a first region, and the direction of the second control is determined based on a component in a fourth axial direction of a difference between a second region reference coordinate point and a coordinate point of the coordinate input performed in a second region.

Abstract: A gripping method relates to a method for gripping an object using a multi-fingered hand provided with a plurality of fingers. The method includes measuring, using a three-dimensional measurement sensor, an area that contains the object, and obtaining three-dimensional information for each position within the area, and deciding positions of the plurality of fingers for gripping the object, by classifying the area, if the area includes a measured area for which the three-dimensional information could be obtained and an unmeasured area for which the three-dimensional information could not be obtained, into the measured area and the unmeasured area based on the distance-indicating information, the positions of the plurality of fingers being decided based on positions of the unmeasured area.

Abstract: A direction of a first control is determined based on a component in the first axial direction of a difference between a first region reference coordinate point and a coordinate point of a coordinate input performed in the first region. A direction of a second control is determined based on a component in a second axial direction of a difference between a second region reference coordinate point and a coordinate point of the coordinate input performed in the second region. When the coordinate input is started in the second region, and thereafter the coordinate input indicates a coordinate point in the first region, the reference coordinate point is set in the first or the second region, and the direction of the first control is determined based on a component in the first axial direction of a difference between the reference coordinate point and the coordinate point in the first region.

Abstract: An object recognition processing apparatus includes: a model data acquisition unit configured to acquire three-dimensional model data of an object; a measurement unit configured to acquire measurement data including three-dimensional position information of the object; a position/orientation recognition unit configured to recognize a position/orientation of the object based on the three-dimensional model data and the measurement data; a similarity score calculation unit configured to calculate a similarity score indicating a degree of similarity between the three-dimensional model data and the measurement data in a position/orientation recognition result of the object; a reliability calculation unit configured to calculate an index indicating a feature of a three-dimensional shape of the object, and calculate a reliability of the similarity score based on the index; and an integrated score calculation unit configured to calculate an integrated score indicating a quality of the position/orientation recognition

Abstract: A calibration method for performing calibration in a computer vision system using a three-dimensional reference object asymmetric as viewed in any direction and having predetermined dimensions includes calculating, based on three-dimensional shape data about the three-dimensional reference object and three-dimensional measurement data obtained through three-dimensional measurement of the three-dimensional reference object, a position and an orientation of the three-dimensional reference object relative to a measurement unit coordinate system defined for the three-dimensional measurement unit, and calculating a reference-measurement unit transformation matrix representing a coordinate transformation between the measurement unit coordinate system and a reference coordinate system defined for the three-dimensional reference object.

Abstract: An information processing apparatus includes: a determination unit configured to determine a plurality of measurement positions and/or orientations from which a 3D measurement sensor makes three-dimensional measurements; a controller configured to successively move the 3D measurement sensor to the plurality of measurement positions and/or orientations; a measurement unit configured to generate a plurality of 3D measurement data sets through three-dimensional measurement using the 3D measurement sensor at each of the plurality of measurement positions and/or orientations; and a data integration unit configured to integrate the plurality of 3D measurement data sets.

Abstract: An object recognition apparatus includes a three-dimensional data obtainer that obtains three-dimensional data including a plurality of points each having three-dimensional information, a parallel projection converter that generates a two-dimensional image by parallel projection of the plurality of points included in the three-dimensional data onto a projection plane, and a recognition processor that detects a target object in the two-dimensional image using template matching.

Abstract: A direction of a first control is determined based on a component in the first axial direction of a difference between a first region reference coordinate point and a coordinate point of a coordinate input performed in the first region. A direction of a second control is determined based on a component in a second axial direction of a difference between a second region reference coordinate point and a coordinate point of the coordinate input performed in the second region. When the coordinate input is started in the second region, and thereafter the coordinate input indicates a coordinate point in the first region, the reference coordinate point is set in the first or the second region, and the direction of the first control is determined based on a component in the first axial direction of a difference between the reference coordinate point and the coordinate point in the first region.

Abstract: In a first mode, a direction of a first control is determined based on a component in a first axial direction of a difference between a first reference coordinate point and a coordinate point of a coordinate input, and a direction of a second control is determined based on a component in a second axial direction. In a second mode, the direction of the first control is determined based on a component in a third axial direction of a difference between a first region reference coordinate point and a coordinate point of the coordinate input performed in a first region, and the direction of the second control is determined based on a component in a fourth axial direction of a difference between a second region reference coordinate point and a coordinate point of the coordinate input performed in a second region.

Abstract: Provided is art capable of recognizing the states of a plurality of target objects arranged in a prescribed space region. This target object recognition device is provided with: a plurality of calculation processing units (21, 22) which each calculate the attitude state of a target object in a prescribed space region using a different technique; a state recognition unit (23) which recognizes the layout state of all of a plurality of target objects arranged in the space region; a method determination unit (24) which, in accordance with the result of the recognition by the state recognition unit (23), determines a method for using the results of the calculation performed by the calculation processing units (21, 22); and a target object recognition unit (25) which recognizes the attitude states of the target objects by means of the determined method for using the results of the calculation.

Abstract: An inspecting device includes: an image acquiring unit which acquires a light-emitting surface image as a photographed image of the light-emitting surface; an inspecting unit which sets an inspecting range in a position in the light-emitting surface image in which the failure may appear, generates a one-dimensional luminance profile representing change in a luminance value along the first side in the inspecting range, detects an extreme value in the luminance profile, calculates an evaluation value for evaluating the difference between adjacent extreme values, and determines the presence or absence of the failure on the basis of the evaluation value; and an output unit which output information obtained by the inspecting unit.

Abstract: Provided is a technology of allowing operation of four push buttons of a controller including the four push buttons provided in place of a cross key pad as if operating the cross key pad. The controller includes a third push-button input module (142) being a cylindrical recess including four push buttons (142A to 142D) on a bottom surface of the third push-button input module (142). A recessed portion (142E) is formed in the bottom surface. Meanwhile, the controller includes a cover member (200) having a circular plate portion (211) including a cross-key-pad portion (212). A column portion having a circular column shape is provided on a back surface of the cover member (200). The cover member (200) is fixed to the third push-button input module (142) through insertion of the column portion into the recessed portion (142E). When a user presses the cross-key-pad portion (212), freely selected one of the four push buttons (142A to 142D) positioned below the circular plate portion (211) can be pressed.

Abstract: A reconstruction processing unit includes a filtering unit which applies a filter for correcting a motion blur attributable to a relative movement of an image pickup system and an object to a transmission image when performing an operation of back-projecting a pixel on the transmission image to a cell on a reconstructed image. A filter that the filtering unit uses when a pixel on a first transmission image is back-projected to a first cell on the reconstructed image is different from a filter that the filtering unit uses when the pixel on the first transmission image is back-projected to a second cell existing at coordinates that differ from those of the first cell.

Abstract: A gripping method relates to a gripping method for gripping an object using a multi-fingered hand provided with a plurality of fingers. A three-dimensional measurement sensor is used to measure an area that contains the object to obtain three-dimensional information. If the area includes an area for which no three-dimensional information can be obtained, the area is separated and is interpolated using the range information indicating the closer one of distances obtained at two positions on an axis extending along a direction in which the fingers are opened and closed, the two positions being adjacent to the unmeasured area with the unmeasured area interposed therebetween. Then, the distance between the fingers for gripping the object is decided, and the multi-fingered hand is controlled based on the distance.

Abstract: The information processing device includes: a first input unit for generating a three-dimensional model of an object to be recognized; a template generation unit that generates, on the basis of the three-dimensional model information, a two-dimensional template which shows the shape of the upper edge of the object to be recognized; a coordinate relationship identification unit that generates coordinate relationship information indicating the relationship between three-dimensional coordinates of the three-dimensional model and two-dimensional coordinates when the three-dimensional model is imaged; a second input unit that receives the input of the captured image; a matching unit that matches the captured image and the two-dimensional template; and a recognition unit that recognizes the three-dimensional position and posture of the object to be recognized by referencing the coordinate relationship information, which is detected according to the results of the two-dimensional matching by the matching unit.

Abstract: A streak-like region detecting device includes: an image acquiring unit which acquires an image; a first filter operation unit which applies, to the image, a first filter responsive to increase in luminance in a first direction and acquires a first response value at an application position of the first filter; a second filter operation unit which applies, to the image, a second filter responsive to decrease in luminance in the first direction and acquires a second response value at an application position of the second filter; a detecting unit which detects a streak-like region having a width corresponding to the distance between the application positions of the first and second filters in the first direction on the basis of an integrated value obtained by integrating the first and second response values; and an output unit which outputs information obtained by the detecting unit.

Abstract: A three-dimensional detailed position/orientation estimation apparatus includes a first position/orientation estimation unit and a second position/orientation estimation unit that are configured to estimate three-dimensional position and orientation. The first position/orientation estimation unit optimizes six parameters (translations x, y, and z, and rotations ?, ?, and ?) using 3D data, and the second position/orientation estimation unit optimizes only three parameters (translations x and y, and rotation ?) that can be estimated with high accuracy using a 2D image, based on the result of the three-dimensional position/orientation estimation performed by the first position/orientation estimation unit using the 3D data.