A system and method can include receiving a set of views, encoding the set of views, and displaying the set of views such that they are perceived as a holographic image.

In a desktop three-dimensional scanner for dental use of the related art, a two-axis rotation motion unit, on which a target object can be placed and rotated in order to image the entire shape of the target object, is coupled to the scanner, and thus, when a subject is placed on the imaging stage and is rotated along the horizontal axis of rotation of the stage, the subject is dropped from the stage by gravity after being inclined, and accordingly, additional fixing means or a receiving jig should be placed on the stage together with the subject to prevent same. In such a case, inconvenience is caused because the target objects to be scanned have various shapes and the fixing means or receiving jigs should fit the shapes thereof. According to one embodiment of the desktop three-dimensional scanner for dental user of the present invention, a camera and a projector are provided on the unit for changing the horizontal axis of rotation of the imaging stage, and thus a target object does not have to be inclined during the scanning process and dental prostheses of various shapes can be three-dimensionally scanned even without additional fixing means or a receiving jig.

A coordinate measuring machine based on a delta robot structure comprising a base plate, arms, a movable platform with a probe, and a control unit for controlling the movement of the movable platform. The base plate is configured to accommodate a first workpiece and the probe is arranged the movable platform so as to utilize the free inside space of the delta robot structure between the arms as measuring volume.

Systems and methods for generating pressure maps of real-world objects using deep learning are disclosed. A structured 3D model of a real-world object is generated from a series of 2D photographs of the object, using a process which in some embodiments utilizes photogrammetry, a keypoint detection deep learning network (DLN), and retopology. In addition, object parameters of the object are received. A pressure map of the object is then generated by a pressure estimation deep learning network (DLN) based on the structured 3D model and the object parameters, where the pressure estimation DLN was trained on structured 3D models, object parameters, and pressure maps of a plurality of objects belonging to a given object category. The pressure map of the real-world object can be used in downstream processes, such as custom manufacturing.

Proposed is a technique for performing sexing of a fertilized egg with a high sexing rate at a high speed, based on image data obtained by photographing a contour of the egg. In particular, a fertilized egg sexing method, a fertilized egg sexing apparatus and a program for making a female/male judgment of a fertilized egg according to a contour of the fertilized egg by a computer are proposed. The fertilized egg sexing method includes: extracting the contour based on image data obtained by photographing the fertilized egg at different angles, calculating a short radial from the contour, calculating short radial phase differences corresponding to photographing at the angles, and making a female/male judgment using the short radial phase differences.

Provided is a system for detection and analysis of a fibrous root system architecture of a plant, including a plant pot having at least one slit area extending through a cross section in an axial direction, at least one laser measuring unit, and a data analyzing unit, where each laser measuring unit has a laser transmitter and a receiver disposed corresponding to the slit area in such a manner that a laser beam emitted from the laser transmitter to the receiver goes across the cross section of the plant pot; measurement on all roots in the slit area is realized by a rotating stage, and the laser measuring unit swinging horizontally around the laser transmitter within a predetermined angle range; and the data analyzing unit is configured to perform statistical analysis on the roots of a plant to be measured according to laser measuring results.

The invention relates to a measuring system (2) for measuring a measured object, in particular a plastic profile (3), said measuring system (2) comprising: an antenna arrangement (4) made of a plurality of THz transceivers (5) each at times actively emitting a THz transmission beam (6) and at times passively receive reflected THz radiation (11), where said antenna arrangement (4) puts out measuring signals (S1) of the measurements of the THz transceivers (5), an adjustment means (12) for adjusting the antenna matrix (4) into several measuring positions (MP1, MP2, MP3) along an adjustment direction (m1, m2), e.g. on a circular path around the measured object (3), a controller and evaluation device (14) for receiving and evaluating the measuring signals (S1) which is configured in such a way that the measuring signals (S1) of said several THz transceivers (5) in said several measuring positions (MP1, MP2, . . . ) are evaluated by means of an SAR evaluation process and a virtual model (VM) of the boundary surfaces (8) of the measured object (3) is created, and subsequently the controller and evaluation device (14) determines layer thicknesses (d, d4) between the boundary surfaces (8) from the virtual model (VM).

An image capture system includes: a first mobile unit configured to move around the target area; a second mobile unit adjustably coupled to the first mobile unit; a dual-camera unit, operatively coupled to the second mobile unit, including: a first camera to capture structural data; and a second camera to capture color data, wherein the first mobile unit and the second mobile unit are configured to move the first camera and the second camera.

A dual-camera image capture system may include a first light source, disposed above a target area, a first mobile unit, configured to rotate around the target area, and a second mobile unit, operatively coupled to the first mobile unit, configured to move vertically along the first mobile unit. The dual-camera image capture system may further include a second light source, operatively coupled to the second mobile unit and a dual-camera unit, operatively coupled to the second mobile unit. The dual-camera image capture system may include a first camera configured to capture structural data and a second camera configured to capture color data. The first mobile unit and the second mobile unit may be configured to move the first camera and the second camera to face the target area in a variety of positions around the target area.

Physical object boundary detection techniques and systems are described. In one example, an augmented reality module generates three dimensional point cloud data. This data describes depths at respective points within a physical environment that includes the physical object. A physical object boundary detection module is then employed to filter the point cloud data by removing points that correspond to a ground plane. The module then performs a nearest neighbor search to locate a subset of the points within the filtered point cloud data that correspond to the physical object. Based on this subset, the module projects the subset of points onto the ground plane to generate a two-dimensional boundary. The two-dimensional boundary is then extruded based on a height determined from a point having a maximum distance from the ground plane from the filtered cloud point data.