Abstract: A displacement detection method, performed by a computer, includes: obtaining (i) a first three-dimensional (3D) model representing a region at a first timing by 3D points and including first objects and (ii) a second three-dimensional model representing the region at a second timing by 3D points and including second objects, the second timing being different from the first timing; detecting, by use of attribute information of the first objects and the second objects, (i) first 3D points included in the first 3D model and (ii) second 3D points included in the second 3D model and associated with the respective first 3D points; performing alignment of the first 3D model and the second 3D model by use of the first 3D points and the second 3D points; and detecting displacement between the first 3D model and the second 3D model after the alignment.

Abstract: A three-dimensional model generation method includes: obtaining map information generated by camera calibration executed by controlling one or more cameras to shoot a subject from a plurality of viewpoints, the map information including three-dimensional points each indicating a position on the subject in a three-dimensional space; obtaining a first image from a first view point and a second image from a second viewpoint; determining a search range in the three-dimensional space, based on the map information, the search range including a first three-dimensional point on the subject, the first three-dimensional point corresponding to a first point in the first image; searching for a similar point that is similar to the first point, in a range in the second image which corresponds to the search range; and generating a three-dimensional model using a search result in the searching.

Abstract: A three-dimensional model generation method executed by a computer includes: obtaining a first image generated by shooting a subject from a first viewpoint and a second image generated by shooting the subject from a second viewpoint; detecting, in at least the first image, a first line composed of a series of edges and corresponding to a contour of the subject; and generating first three-dimensional points representing the contour, in a three-dimensional space in the computer, based on the first image, the second image, and the first line.

Abstract: A three-dimensional point cloud densification device includes: an obtainer that obtains a plurality of three-dimensional points, each of which indicates a three-dimensional position of at least one object, and auxiliary information for creating a polygon; and a densifier that: identifies the polygon having, as vertices, at least three three-dimensional points among the plurality of three-dimensional points, based on the auxiliary information; and generates a new three-dimensional point inside the polygon.

Abstract: A manufacturing step management system includes: a support member configured to come into contact with a workpiece that moves in a state in which tension is applied and to support the workpiece; an acquirer configured to acquire information about variance of a mechanical change on the basis of the mechanical change in the support member; and an estimator configured to estimate the tension applied to the workpiece.

Abstract: A battery pack includes: a plurality of stacked battery cells; a holding member that holds the plurality of battery cells; an adhesive member that is interposed between each of the battery cells and the holding member and that adheres each of the battery cells and the holding member; and a heat conduction member that has an elastic modulus smaller than an elastic modulus of the adhesive member and that is interposed between each of the battery cells and the holding member.

Abstract: A filling rate measurement method includes: obtaining a space three-dimensional model generated by measuring a storage through an opening of the storage using a range sensor facing the storage; obtaining a storage three-dimensional model that is a three-dimensional model of the storage; extracting a target part that is a part of a measurement target in the space three-dimensional model; identifying a line segment indicating a shape of the opening on a two-dimensional image of the opening which is generated; estimating a target three-dimensional model that is a three-dimensional model of the measurement target based on the target part and a three-dimensional coordinate system with respect to the position of the opening on a three-dimensional space identified based on the position of the range sensor, the specific direction, and the shape of the opening; and calculating a filling rate of the measurement target with respect to the storage space.

Abstract: A three-dimensional model generation method includes: detecting a first line from each of a plurality of images of a target area shot to detect a plurality of first lines, the plurality of images being shot from a plurality of viewpoints; excluding, from the plurality of first lines detected, a second line that reaches an edge of an image among the plurality of images; and generating a line segment model which is a three-dimensional model of the target area represented by lines, using a plurality of line segments which are the plurality of first lines from which the second line is excluded.

Abstract: Power supply device includes battery stack in which a plurality of prismatic battery cells are stacked, end plate having a rectangular shape in plan view and having a pressing surface that covers an end surface of battery stack, and fastening member that fastens battery stack. End plate has, on a pressing surface, flat pressing regions respectively formed on end edge sides in the up-down direction, and bead region formed on the middle side in the up-down direction and bent in a shape protruding toward the back surface side of the pressing surface. Thus, strength can be improved by changing a shape in which bead region is formed in the middle while pressing regions that presses battery stack remains on end plate, which enables end plate having high strength to be provided at low cost.

Abstract: A three-dimensional model generation method executed by an information processing device includes: obtaining images generated by shooting a subject from respective viewpoints; searching for a similar point that is similar to a first point in a first image among the images, from second points in a search area in a second image different from the first image, the search area being provided based on the first point; calculating an accuracy of a search result of the searching, using degrees of similarity between the first point and the respective second points; and generating a three-dimensional model using the search result and the accuracy.

Abstract: A shooting method executed by a shooting device includes: shooting first images of a target space; generating a first three-dimensional point cloud of the target space, based on the first images and a first shooting position and a first shooting orientation of each of the first images; and determining a first region of the target space for which generating a second three-dimensional point cloud which is denser than the first three-dimensional point cloud is difficult, using the first three-dimensional point cloud and without generating the second three-dimensional point cloud. The determining includes generating a mesh using the first three-dimensional point cloud, and determining the region other than a second region of the target space for which the mesh is generated.

Abstract: A dimension measurement method includes: extracting a plurality of lines from a plurality of images generated by shooting a target area from a plurality of viewpoints, and generating a line segment model which is a three-dimensional model of the target area that is expressed using the plurality of lines; calculating a dimension of a particular part inside the target area, using the line segment model; and outputting the dimension calculated.

Abstract: A method for analyzing a three-dimensional model of an object which includes: obtaining the three-dimensional model generated based on images of the object, the images being imaged by respective cameras from respective viewpoints, the three-dimensional model including three-dimensional points each of which indicating a position of the object; obtaining a camera parameter of one camera among the respective cameras; generating, based on the camera parameter and the three-dimensional model, a depth image indicating a distance between the one camera and the object; generating a foreground image indicating an area in which the object is present in the one image imaged by the one camera; comparing the depth image and the foreground image to determine whether there is a deficiency of a three-dimensional point in the three-dimensional model; and outputting deficiency information if it is determined that there is the deficiency of the three-dimensional point in the three-dimensional model.

Abstract: A three-dimensional model generation method includes: obtaining map information generated by camera calibration executed by controlling one or more cameras to shoot a subject from a plurality of viewpoints, the map information including three-dimensional points each indicating a position on the subject in a three-dimensional space; obtaining a first image from a first view point and a second image from a second viewpoint; determining a search range in the three-dimensional space, based on the map information, the search range including a first three-dimensional point on the subject, the first three-dimensional point corresponding to a first point in the first image; searching for a similar point that is similar to the first point, in a range in the second image which corresponds to the search range; and generating a three-dimensional model using a search result in the searching.

Abstract: A three-dimensional model generation method executed by an information processing device includes: obtaining a first three-dimensional model from a measuring device that emits an electromagnetic wave and obtains a reflected wave which is the electromagnetic wave reflected by a measurement target to thereby generate a first three-dimensional model including first position information indicating first three-dimensional positions in the measurement target; obtaining a multi-viewpoint image generated by one or more cameras shooting the measurement target from different positions; and generating a second three-dimensional model by enhancing the definition of the first three-dimensional model using the multi-viewpoint image.

Abstract: A three-dimensional displacement measuring method includes: calculating camera parameters of N cameras based on M correction images shot at M viewpoints by cameras including the N cameras, where N is an integer greater than 1 and M is an integer greater than N, the M viewpoints being mutually different; and measuring a displacement over time of a subject caused by vibration of the subject in a three-dimensional space, based on (1) sets of N images and (2) the camera parameters. The N images in each of the sets are generated by the N cameras shooting the subject at the same time, and the sets are generated at different times. The different times are set according to a frequency of the vibration of the subject.

Abstract: A three-dimensional model generation method includes: generating a first three-dimensional model of a predetermined region from first frames; projecting the first three-dimensional model onto at least one second frame; and generating a second three-dimensional model in accordance with first pixels in the at least one second frame onto which the first three-dimensional model is not projected.

Abstract: A three-dimensional model processing method includes: generating, from first images shot by respective cameras at a first time, a first three-dimensional model including: first three-dimensional points indicating a subject at the first time; and first camera parameters indicating positions and orientations of the cameras; generating, from second images shot by the respective cameras at a second time, a second three-dimensional model including: second three-dimensional points indicating the subject at the second time; and second camera parameters indicating positions and orientations of the cameras; detecting a stationary camera among the cameras, whose position and orientation has not changed between the first and second times, or stationary three-dimensional points among the three-dimensional points, whose positions have not changed between the first and second times; and matching world coordinate systems of the first and second three-dimensional models, based on the first camera parameters of the stationary

Abstract: A displacement detection method, performed by a computer, includes: obtaining (i) a first three-dimensional (3D) model representing a region at a first timing by 3D points and including first objects and (ii) a second three-dimensional model representing the region at a second timing by 3D points and including second objects, the second timing being different from the first timing; detecting, by use of attribute information of the first objects and the second objects, (i) first 3D points included in the first 3D model and (ii) second 3D points included in the second 3D model and associated with the respective first 3D points; performing alignment of the first 3D model and the second 3D model by use of the first 3D points and the second 3D points; and detecting displacement between the first 3D model and the second 3D model after the alignment.

Abstract: An object amount calculation apparatus includes: a receiver configured to obtain a first three-dimensional model and a second three-dimensional model different from the first three-dimensional model, each of the first three-dimensional model and the second three-dimensional model representing a same space, each of the first three-dimensional model and the second three-dimensional model being constituted with regions having respective attributes; and a processor configured to: align the first three-dimensional model and the second three-dimensional model based on at least one attribute of the first three-dimensional model and the second three-dimensional model; calculate, for each of the attributes, a difference between the first three-dimensional model aligned and the second three-dimensional model aligned; and output (i) a total amount of differences corresponding to two or more attributes among the attributes and (ii) information on the two or more attributes.