A method for matching points between three images of a scene comprises retrieving three images acquired by a sensor, extracting blobs from said reflection in said two images; for each given extracted blob of the first image: selecting a selected epipolar plane; identifying plausible combinations; calculating a matching error; repeating the steps of selecting, identifying and calculating for each epipolar plane of the set of epipolar planes; determining a most probable combination; identifying matching points between the two images; validating the matching points between the two images, said validating comprising for each pair of matching points, determining a projection of the pair of matching points in a third image of the third camera; and providing the validated pairs of matching points.

A coordinate measuring system includes a scanning module having a laser line scanner and a projection device. The laser line scanner projects a laser line onto a surface of a workpiece and produces scan data from a reflection of the laser line. The projection device and/or the laser line scanner project three optical markers onto the surface of the workpiece, at least one of the three markers being disposed on the laser line and at least one of the three markers being at a distance from the laser line. The coordinate measuring system includes an optical sensor capturing image data of the three optical markers and an evaluation device determining a position and an orientation of the coordinate system of the laser line scanner in the coordinate system of the optical sensor based on the image data of the optical sensor and the scan data of the laser line scanner.

A mobile terminal having a lighting device including a light emitting element, a diffractive optical element (DOE) to diffract a part of light output from the light emitting element, and a driving unit to move the diffractive optical element so as to vary a distance between the light emitting element and the diffractive optical element.

A highly efficient three-dimensional image acquisition method based on multi-mode composite encoding and epipolar constraint, respectively using a fast imaging mode or a high-precision imaging mode, wherein in the fast imaging mode, two phase maps having different frequencies are obtained by four stripe gratings, and a high-frequency absolute phase is obtained by means of the epipolar constraint and a left-right consistency check, and the three-dimensional image is obtained by means of a mapping relationship between the phase and three-dimensional coordinates; and in the high precision imaging mode, two phases having different frequencies are obtained by means of N+2 stripe gratings, a low-frequency absolute phase is obtained by the epipolar constraint, and the unwrapping of a high-frequency phase is assisted by means of the low-frequency absolute phase, so as to obtain the high-frequency absolute phase, and finally, the three-dimensional image is obtained by the mapping relationship between the phase and the three-dimensional coordinates. In this way, the imaging efficiency is ensured, and the imaging precision is improved.

An image processing apparatus includes: an acquisition unit that acquires a plurality of first images that correspond to a plurality of spatial frequencies on a one-to-one basis; and a generation unit that generates a second image by synthesizing the first images acquired by the acquisition unit.

An image acquisition unit for obtaining data to generate at least one three-dimensional representation of at least one underwater structure is disclosed. The image acquisition unit includes a unit body, a plurality of cameras, a first laser light device, and a second laser light device. The first laser light device can operate based on a first illumination setting. The second laser light device can operate based a second illumination setting. The first and second cameras can be configured to capture light during the first illumination setting and generate a first set of data representative of the first laser projecting on the at least one underwater structure at a predetermined scan rate. The third and fourth cameras can be configured to capture light during the second illumination setting and generate a second set of data representative of the second laser projecting on the at least one underwater structure at the predetermined scan rate.

Systems, devices, and techniques related to matching features between a dynamic vision sensor and one or both of a dynamic projector or another dynamic vision sensor are discussed. Such techniques include casting a light pattern with projected features having differing temporal characteristics onto a scene and determining the correspondence(s) based on matching changes in detected luminance and temporal characteristics of the projected features.

A system includes an upper platform, a turntable platen, and a mounting shaft, the upper platform including a central surface surrounded by an outer ring, the outer ring having a collection of markers, the mounting shaft positioned between the upper platform and the turntable platen.

Three-dimensional measurement is performed by projecting patterned light having a hybrid pattern Ph onto a measurement target. The hybrid pattern Ph is a pattern in which a random pattern Pr is superimposed on a structured light pattern Ps, and is arranged in pattern such that the random pattern Pr and the structured light pattern Ps do not interfere mutually.

The techniques described herein relate to methods, apparatus, and computer readable media configured to determine parameters for image acquisition. One or more image sensors are each arranged to capture a set of images of a scene, and each image sensor comprises a set of adjustable imaging parameters. A projector is configured to project a moving pattern on the scene, wherein the projector comprises a set of adjustable projector parameters. The set of adjustable projector parameters and the set of adjustable imaging parameters are determined, based on a set of one or more constraints, to reduce noise in 3D data generated based on the set of images.