A laser projection method including the steps of: irradiating, from a laser projection unit, a workpiece that is a measurement object, with a laser while controlling a plurality of mirror angles; imaging the workpiece with a stereo camera, extracting a contour of the workpiece, and calculating a three-dimensional coordinate; calculating a positional relationship between the laser projection unit and the workpiece by comparing the calculated three-dimensional coordinate of the workpiece contour with the minor angle; and performing coordinate transformation of CAD data information and drawing CAD data from the laser projection unit to the workpiece, based on the positional relationship between the laser projection unit and the workpiece. The machining method including the steps of: selecting a component of a tool; assembling the component; imaging the tool assembled; and determining whether or not a desired tool has been assembled.

Aspects herein use a feature detection system to visually identify a feature on a component. The feature detection system includes at least two cameras that capture images of the feature from different angles or perspectives. From these images, the system generates a 3D point cloud of the components in the images. Instead of projecting the boundaries of features onto the point cloud directly, the aspects herein identify predefined geometric shapes in the 3D point cloud. The system then projects pixel locations of the feature's boundaries onto the identified geometric shapes in the point cloud. Doing so yields the 3D coordinates of the feature which then can be used by a robot to perform a manufacturing process.

An electronic device balances gain and exposure at an imaging sensor of the device based on detected image capture conditions, such as motion of the electronic device, distance of a scene from the electronic device, and predicted illumination conditions for the electronic device. By balancing the gain and exposure, the quality of images captured by the imaging sensor is enhanced, which in turn provides for improved support of location-based functionality.

A high-density shape reconstruction is conducted in measuring animal bodies as well. An image processing system has a projection device, an imaging device, and an image processing apparatus connected to the projection device and the imaging device, wherein the projection device projects a projected pattern to an observation target, the imaging device captures the projected pattern, and the image processing apparatus performs shape reconstruction based on an input image including the projected pattern. The image processing apparatus includes a unit for fetching the input image captured by the imaging device and performing line detection for the projected pattern projected by the projection device, wherein the projected pattern is a grid pattern formed of wave lines; and a unit for performing shape reconstruction by associating intersection points of vertical and horizontal lines extracted by the line detection with the projected pattern.

An optical measurement method for determining 3D coordinates of a plurality of measurement points on a measurement object surface. The measurement object surface is illuminated with a pattern sequence of different patterns by a projector, an image sequence of the measurement object surface illuminated with the pattern sequence is recorded with a camera system, and the 3D coordinates of the measurement points are determined by evaluating the image sequence, in particular wherein a succession of brightness values for identical measurement points on the measurement object surface is ascertained in respective images of the recorded image sequence. Translational and/or rotational accelerations of the projector, of the camera system and/or of the measurement object are measured here and, in dependence on the measured accelerations, the illumination of the measurement object surface and/or the recording of the image sequence is/are reactively adapted, in particular temporally substantially directly and live during the measurement process.

A vehicle measurement system includes a laser projector which is designed to generate suitable laser radiation during the vehicle measurement operation, and a laser protection device which is suitable for protecting people and objects from the laser radiation. The laser projector and the laser protection device are designed as separate components and are combinable to form a laser projector having a laser protection device and are separable from one another again.

Disclosed herein is a method for acquiring a three-dimensional (3D) image including: acquiring a 3D primary image of an object from two-dimensional (2D) primary image data acquired by first and second cameras when a predetermined pattern is projected on the object by a projector and a 2D primary image of the pattern-projected object is acquired by the first and second cameras, and then converting it into a 2D re-viewpoint image; correcting a missing area in the 2D re-viewpoint image corresponding to the 3D data missing area for compensating for a 3D data missing area caused by a curvature of the object and the points of view of the first and second cameras; and generating a corrected 3D image by referring to the 2D primary image data acquired by the first or second camera and the corrected 2D re-viewpoint image information.

A method and apparatus for performing a single view depth and texture calibration are described. In one embodiment, the apparatus comprises a calibration unit operable to perform a single view calibration process using a captured single view a target having a plurality of plane geometries having detectable features and being at a single orientation and to generate calibration parameters to calibrate one or more of the projector and multiple cameras using the single view of the target.

A device for optically scanning and measuring an environment is provided. The device includes at least one projector for producing at least one uncoded pattern on an object in the environment. A first camera is provided for recording at least one first image of the object provided with the pattern, the first camera having a first image plane. A second camera is provided for recording at least one second image of the object provided with the uncoded pattern, the second camera being spaced apart from the first camera in order to acquire the uncoded pattern on a second image plane. A controller is provided having a processor configured to determine the three-dimensional coordinates of points on the surface of the object based at least in part on the uncoded pattern, the at least one first image and the at least one second image.

A three-dimensional (3D) coordinate measuring system includes an external projector that projects a pattern of light onto an object and an aerial drone attached to a 3D imaging device, the 3D imaging device and the external projector cooperating to obtain 3D coordinates of the object.