The present disclosure relates to a method for determining the bending angle on a bending machine, wherein the bending machine includes an upper tool and a lower tool for reshaping a workpiece by bending along a bending line. One or more measuring arrangements are positioned on the bending machine, which together include at least one illumination device and in each case at least one image acquisition device. Each measuring arrangement is assigned a different surface portion of the workpiece which lies laterally adjacent to the bending line and extends along the bending line. A light pattern is imaged on the workpiece by means of the at least one illumination device of a respective measuring arrangement onto the assigned surface portion. The light pattern contains a plurality of zones which are arranged side by side along the bending line.

An intraoral scanner comprises one or more structured light projectors and two or more cameras, where each structured light projector projects a pattern of light onto an intraoral three-dimensional (3D) surface and the two or more cameras capture one or more sets of images, wherein each image includes at least a portion of the projected pattern of light. A processor solves a correspondence problem within a set of images of the one or more sets of images such that points in 3D space are determined based on correspondence of captured features in the set of images to projected features of at least the portion of the projected pattern, wherein said points in 3D space form a solution to the correspondence problem. The processor calibrates the intraoral scanner by performing an adjustment to stored calibration data associated with the intraoral scanner based on the solution to the correspondence problem.

A dental scanning system comprises an intraoral scanner and one or more processors. The intraoral scanner comprises one or more light projectors configured to project a pattern (comprising a plurality of pattern features) on a dental object, and two or more cameras configured to acquire sets of images, each comprising at least one image from each camera. The processor(s) are configured to determine a correspondence between pattern features in the pattern of light and image features in each set of images by determining intersections of projector rays corresponding to one or more of the plurality of pattern features and camera rays corresponding to the one or more image features in three-dimensional (3D) space based on calibration data that associates the camera rays corresponding to pixels on the camera sensor of each of the two or more cameras to the projector rays.

A three-dimensional measurement method combines the three-step phase shift method to embed the marker line information into the sinusoidal stripe pattern to obtain the target stripe pattern. The target stripe pattern is projected onto the surface of the object to be measured, and the wrapped phase image, mean intensity image and modulated intensity image of the stripe pattern collected by the left and right cameras are solved. The mask image according to the mean intensity image and modulation intensity image is solved to extract the marker line. The spatial phase unwrapping starting from the marker line in the wrapped phase image is performed to obtain the spatial phase. The spatial phase matching based on the unique correspondence between the left and right cameras based on the spatial phase of the marker line is performed, the best matching point of the right camera is obtained.

A multi-modal sensor system includes: an underlying sensor system; a polarization camera system configured to capture polarization raw frames corresponding to a plurality of different polarization states; and a processing system including a processor and memory, the processing system being configured to control the underlying sensor system and the polarization camera system, the memory storing instructions that, when executed by the processor, cause the processor to: control the underlying sensor system to perform sensing on a scene and the polarization camera system to capture a plurality of polarization raw frames of the scene; extract first tensors in polarization representation spaces based on the plurality of polarization raw frames; and compute a characterization output based on an output of the underlying sensor system and the first tensors in polarization representation spaces.

A method and apparatus for generating a three-dimensional depth map, are provided. The method comprising the steps of: (i) illuminating a target by a pattern projector having background intensity or by a combination of a pattern projector which does not have a background intensity operative together with a flood projector; (ii) capturing at least one image that comprises one or more objects present at the illuminated target; (iii) converting the at least one captured image into data; (iv) processing the data received from the conversion of the at least one captured image while filtering out the projected pattern from the processed data; (v) detecting edges of at least one of the one or more objects present at the illuminated target; and (vi) generating a three-dimensional depth map that comprises the at least one of the one or more objects whose edges have been determined.

A device, for spatially measuring surfaces, includes a projector for projecting patterns into an object space, two cameras for recording pictures of a surface in the object space, and a control and evaluation unit for activating the cameras and evaluating the pictures. The projector includes a light source, a projection lens, at least one rotatably arranged pattern structure, and a drive for rotating the at least one pattern structure. The control and evaluation unit to: activate the cameras for simultaneously recording a picture at each of a plurality of successive points in time; identify corresponding points in the picture planes of the cameras, by way of evaluating a correlation function between the sequences of brightness values acquired for potentially corresponding points and maximizing a value of the correlation; and determine spatial coordinates of surface points by way of triangulation on the basis of the identified corresponding points.

A measurement system and a method of measuring an object is provided. The system includes a measurement platform having a planar surface. At least two optical sensors are coupled to the measurement platform that emit light in a plane and determines a distance to an object based on a reflection of the light. A linear rail is coupled to the measurement platform. A cooperative robot is coupled to move along the linear rail. A 3D measuring system is coupled to the end of the robot. A controller coupled to the at least two optical sensors, the robot, and the 3D measuring system, the controller changing the speed of the robot and the 3D measuring system to less than a threshold in response to a distance measured by at least one of the at least two optical sensors to a human operator being less than a first distance threshold.

A meta projector includes a light source array configured to emit light along an optical path. The light source array includes a first light-emitting array including a plurality of first light-emitting configured to emit first light having a first set of light properties and a second light-emitting array including a plurality of second light-emitting elements configured to emit a second light having a second set of light properties, the second set of light properties different from the first set of light properties. The meta projector includes a meta-structure layer aligned with the optical path. The meta projector includes a plurality of nanostructures having a sub-wavelength shape dimension that is smaller than a wavelength of light emitted from the light source array. The meta-structure layer is configured to differently modulate the first light and the second light in relation to each other.

A method is provided for assembling a 3D sensing apparatus that comprises at least two projectors, wherein the assembling of the apparatus is carried out by ensuring that a pattern formed from a combination of images projected by each of the at least two projectors, is not formed along an epi-polar line or part thereof more than once. The method comprises the steps of: placing the at least two projectors at initial approximate physical positions within the 3D sensing apparatus; and, placing one or more projectors' protectors on top of the at least two projectors, thereby changing the projectors initial positions and automatically positioning them accurately in their pre-defined position and orientation by using the one or more projectors' protectors.