A three dimensional coordinate measurement device and method of measuring is provided. The device including a housing having a first axis and a second axis. A first depth camera is coupled to the housing, the first depth camera having a first optical axis aligned with the first axis. A second depth camera is coupled to the housing, the second depth camera having a second optical axis disposed on a first angle relative to the first axis. A third depth camera is coupled to the housing, the third depth camera having a third optical axis disposed on a second angle relative to the first axis, the second angle being different than the first angle. A rotational device is coupled to rotate the housing about the second axis.

In cutting a band-shaped glass film along a longitudinal direction thereof and evaluating linearity of an end side formed in association with the cutting to inspect quality of a cut band-shaped glass film, the following steps are performed: an imaging step of dividing the end side into a plurality of segments and imaging each of the plurality of segments; a linear approximation step of calculating an approximate straight line of the end side based on a plurality of points different from each other on the end side in each of a plurality of images obtained in the imaging step; a variation calculation step of calculating a variation value of the plurality of points based on the approximate straight line; and an evaluation step of evaluating the linearity of the end side based on a plurality of variation values respectively corresponding to the plurality of images.

Methods, systems, and programs are presented for simultaneous recognition of objects within a detection space utilizing three-dimensional (3D) cameras configured for capturing 3D images of the detection space. One system includes the 3D cameras, calibrated based on a pattern in a surface of the detection space, a memory, and a processor. The processor combines data of the 3D images to obtain pixel data and removes, from the pixel data, background pixels of the detection space to obtain object pixel data associated with objects in the detection space. Further, the processor creates a geometric model of the object pixel data, the geometric model including surface information of the objects in the detection space, generates one or more cuts in the geometric model to separate objects and obtain respective object geometric models, and performs object recognition to identify each object in the detection space based on the respective object geometric models.

A method of determining facial metrics of a patient includes: capturing a first image of the patient with an image capturing device positioned in a first known position with the assistance of a positioning device, capturing a second image of the patient with the image capturing device positioned in a second known position different that the first known position with the assistance of the positioning device, and determining facial metrics of the patient by analyzing the first image and the second image.

An information processing apparatus includes an acquisition unit configured to acquire a plurality of captured images of a traveling surface where a movable apparatus travels, each of the captured images including distance information in a depth direction transverse to the traveling surface, the plurality of captured images having been captured using a plurality of stereo image capture devices, and an image processing unit configured to stitch together the plurality of images of the traveling surface captured by the plurality of stereo image capture devices by identifying partially overlapping portions of one or more pairs of the images captured by respective stereo image capture devices which are adjacent in a width direction of the traveling surface.

A three-dimensional (3D) imaging system includes a mobile device that has a display screen configured to display a series of patterns onto an object that is to be imaged. The mobile device also includes a front-facing camera configured to capture reflections of the series of patterns off of the object. The system also includes a controller that is configured to control a timing of the series of patterns that appear on the display screen and activation of the front-facing camera in relation to the appearance of the series of patterns.

A method and devices for estimating a mechanical property of a rock joint are presented. The method comprises obtaining a plurality of at least partly overlapping photos of the rock joint by at least one optical sensor comprised in a device, wherein said photos represents the rock joint from different perspectives or positions, generating a digital three-dimensional representation of the rock joint based on said plurality of photos, and determining the mechanical property of the rock joint based on the generated digital three-dimensional representation

A system for measuring total operating deflection shapes of a structure includes one or more imagers, each including two cameras spaced apart from one another and each oriented and positioned to have corresponding fields of view of a different corresponding section of the structure, with the corresponding sections that may include overlap area of the structure within each of the different sections of the structure. Each of the cameras generates a corresponding data stream, which is communicated to a controller, which is configured to measure the response of the structure to an excitation, such as a vibration or an impulse. The system is configured to convert time-domain data from each of the data streams to the frequency-domain data using a Fourier Transform algorithm and stitching the shapes to obtain the total operating deflection shapes of the structure by scaling and stitching together the frequency-domain data.

A method includes generating image signals from which a two-dimensional image is generated. The method includes generating object image signals by capturing an examination object arranged in a space. The method includes generating overview image signals by capturing an overview of the space. The method includes receiving image information included in the generated object image signals and the generated overview image signals. The method includes combining a two-dimensional object image, generated from the object image signals, with a two-dimensional perspectively distorted overview image of the space, generated from the overview image signals, to form a two-dimensional output image. The method includes scaling the received image information with respect to an image size for forming the output image in a manner such that at least one dimension of the examination object captured both in the object image and in the overview image has a same size in the output image.

A system for part location and long-range scanning of large additively manufactured structures and method for using the same. In some embodiments, the method for locating and scanning a three-dimensional (3D) object comprises scanning a first portion of the 3D object from a first position via a long-range scanner on a mobile platform, determining whether additional portions of the 3D object require scanning, moving the long-range scanner via the mobile platform to a second position based on said determination that additional portions of the 3D object require scanning, and aligning each portion of the scanned 3D object.