A triangulation scanner having an enclosure, a projector coupled to the enclosure and configured to emit a first light, and three cameras also coupled to the enclosure. The scanner further includes at least one processor to determine the three-dimensional coordinates in a local frame of reference based at least in part on receiving the first light.

A structured-light pattern for a structured-light system includes a base light pattern that includes a row of a plurality of sub-patterns extending in a first direction. Each sub-pattern is adjacent to at least one other sub-pattern, and each sub-pattern is different from each other sub-pattern. Each sub-pattern includes a first number of portions in a sub-row and a second number of portions in a sub-column. Each sub-row extends in the first direction and each sub-column extends in a second direction that is substantially orthogonal to the first direction. Each portion may be a first-type portion or a second-type portion. A size of a first-type portion is larger in the first direction and in the second direction than a size of a second-type portion in the first direction and in the second direction. In one embodiment, a first-type portion is a black portion and the second-type portion is a white portion.

A structured light 3D scanner based on the principle of triangulation with a light source for generating a light pattern, two cameras with two-dimensional sensors recording the reflection of the light pattern from a target object, and one axis moving the cameras. Wherein the cameras are arranged with at least partly overlapping fields of view and where the sensors in the cameras are read out partially and concurrently during at least some period of the scanning process, thus providing partial images and where the partial images are merged prior to performing the triangulation calculations.

In certain embodiments, an apparatus comprises a lens comprising an etched pattern and a light-emitting diode (“LED”) projector configured to project a pattern of light according to the etched pattern of the lens onto a surface by transmitting light through the lens. The apparatus further comprises a first camera configured to capture first data associated with the projected pattern of light and a second camera configured to capture second data associated with the projected pattern of light, wherein the first data captured by the first camera and the second data captured by the second camera are used to measure profiles of the surface.

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.

An optical 3-D sensor for very fast, highly resolved and dense capture of the surface shape of objects in 3-D space. One image or a plurality of images recorded at the same time in a single shot method suffice for the recording. Using this, it is possible, as a matter of principle, to record 3-D data with the frame rate of the employed cameras, i.e. to build a 3-D video camera. The optical 3-D sensor has a projector projecting a line pattern onto the object, and K cameras, which each record an image of the object illuminated by the projector. The line pattern contains lines in a number of R directions and the K cameras are disposed to span up to K×R triangulation sensors. The triangulation sensors are coupled by a control and evaluation unit by way of the common line pattern.

A three-dimensional scanning system includes: a camera configured to capture images; a processor; and memory coupled to the camera and the processor, the memory being configured to store: the images captured by the camera; and instructions that, when executed by the processor, cause the processor to: control the camera to capture one or more initial images of a subject from a first pose of the camera; compute a guidance map in accordance with the one or more initial images to identify one or more next poses; control the camera to capture one or more additional images from at least one of the one or more next poses; update the guidance map in accordance with the one or more additional images; and output the images captured by the camera to generate a three-dimensional model.

Technologies are generally described for generating depth data based on a spatial light pattern. In some examples, a method of generating depth data includes obtaining an image of one or more objects on which a spatial light pattern is projected, wherein blurring of the spatial light pattern in the image monotonously increases or decreases in a depth direction, calculating a value of a spatial frequency component of the image in a local image area around a pixel of interest, and determining depth data corresponding to the calculated value of the spatial frequency component by utilizing a preset relationship between depths and values of the spatial frequency component.

A 3D measurement method including: projecting a pattern sequence onto a moving object; capturing a first image sequence with a first camera and a second image sequence synchronously to the first image sequence with a second camera; determining corresponding image points in the two sequences; computing a trajectory of a potential object point from imaging parameters and from known movement data for each pair of image points that is to be checked for correspondence. The potential object point is imaged by both image points in case they correspond. Imaging object positions derived therefrom at each of the capture points in time into image planes respectively of the two cameras. Corresponding image points positions are determined as trajectories in the two cameras and the image points are compared with each other along predetermined image point trajectories and examined for correspondence; lastly performing 3D measurement of the moved object by triangulation.

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.