A structured 3D model of a real-world object is generated from a series of 2D photographs of the object, using 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 DLN based on the structured 3D model and the object parameters. 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.

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.

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.

A system and a method for generating a combined 3D model (95) of a sample comprising a sample imaging system (1) configured to generate a first 3D model (25) of the sample, a slice imaging system (2) configured to generate a second 3D model (615) of the sample, and a combiner engine (90) configured to generate a combined 3D model (95) based on the first 3D model and the second 3D model of the sample.

An acquisition device for at least semiautomated acquisition of sets of multiple object data of at least one object, including a movement device for generating a defined relative movement between at least one object data acquisition unit and the at least one object.

A multi-view interactive digital media representation (MVIDMR) of an object can be generated from live images of an object captured from a camera. Selectable tags can be placed at locations on the object in the MVIDMR. When the selectable tags are selected, media content can be output which shows details of the object at location where the selectable tag is placed. A machine learning algorithm can be used to automatically recognize landmarks on the object in the frames of the MVIDMR and a structure from motion calculation can be used to determine 3-D positions associated with the landmarks. A 3-D skeleton associated with the object can be assembled from the 3-D positions and projected into the frames associated with the MVIDMR. The 3-D skeleton can be used to determine the selectable tag locations in the frames of the MVIDMR of the object.

A measurement apparatus and a measurement method capable of speedily and accurately measuring an edge shape are provided. A measurement apparatus according to an aspect of the present disclosure includes an objective lens positioned so that its focal plane cuts across an edge part of a substrate, a detector including a plurality of pixels and configured to detect a reflected light from the edge part of the substrate through a confocal optical system, an optical head in which the objective lens and the detector are disposed, a moving mechanism configured to change a relative position of the optical head with respect to the substrate so that an inclination of the focal plane with respect to the substrate is changed, and a processing unit configured to measure a shape of the edge part.

The invention relates to a device (1) for measuring the surface condition of a component (4, 5, 6). Said device (1) comprises a measurement member (2) comprising at least one sensor (21, 22, 23) capable of measuring at least one datum relating to the surface condition of the component (4, 5, 6) and at least one transmitter (24) capable of transmitting the datum from the sensor (21, 22, 23). The measurement device (1) also comprises a support (3) for the measurement member (2), the support comprising means for connecting same to the component (4, 5, 6).

The present disclosure provides a scanning control method and apparatus, a system, a storage medium, and a processor. The control method includes: controlling a scanner to preliminarily scan a to-be-scanned object according to a predetermined path to obtain a scanned model of the to-be-scanned object; determining second predetermined positions of the scanner corresponding to respective first predetermined positions of the to-be-scanned object according to the scanned model; and controlling the scanner to scan, at least at part of the second predetermined positions, the to-be-scanned object at the corresponding first predetermined positions until a three-dimensional model is obtained. According to the control method, scanning positions of the scanner are determined according to the scanned model obtained by preliminary scanning and positions of the to-be-scanned object, and part of the scanning positions are selected for scanning.

A method and apparatus to obtain very accurate measurements of the perimeter of a person's head scanning with an optical device; transmitting the scanned data to one or more processors which translate the measurements as precise three-dimensional data wherein an x-y plane is defined as the beginning or lower edge of the conformal cap from which a z-axis extends orthogonally in a upwardly direction towards the crown of a person's head. The three-dimensional data may be further processed to a suitable format for transmission to a transformation tool that moves one or more actuators to create an accurate three-dimensional mold of the person's head, upon which fabric or foam can be applied to create an accurate conformal cap for subsequent uses.