A positioning device combining mark point positioning and intelligent reverse positioning and method thereof, comprising a binocular camera, a third camera, and a laser; the laser is used for emitting laser projection, the binocular camera is used for acquiring images with laser lines and reflective mark points on the surface of the scanned object, and the third camera is used for acquiring images with coding points and mark points in the peripheral environment; the method comprises the following steps of: S1. calibrating parameters of each camera under different scanning modes, and enabling the parameters of each camera to synchronously and correspondingly transform when the scanning modes are switched; S2. judging and switching the scanning mode into a mark point mode or an intelligent reverse tracking mode through the scanning scene. The two positioning modes are flexibly switched, and the use of a user is facilitated.

A method for 3D surface imaging of an object, comprising generating a sinusoidal pattern from an input beam; projecting the sinusoidal pattern onto the object; acquiring deformed structured images from the object; reconstructing and displaying the surface of the object in real-time. A system comprises an device encoding an input beam with a structured pattern; a filter configured to spatially filter the encoded beam; a projector lens projecting the structured pattern onto the object; a high speed camera acquiring a structured pattern deformed by the 3D surface of the object; a graphic processing unit; and a CoaXPress interface transferring data acquired by the camera to the graphic processing unit; the graphic processing unit reconstructing and displaying the 3D surface of the object in real-time.

Exemplary method and apparatus embodiments according to the applications can provide calibration of a dental scanning device. An exemplary dental apparatus can include a sensing apparatus including at least one lens and a sensor that is configured to obtain one or more images of at least one surface position, and a calibration target including a spatial light modulator configured to form a prescribed set of calibration patterns, and whose display plane corresponds to the at least one surface position.

Provided are a signal source space sensing method and apparatus, and an active sensing system. The method includes: a controller controls a signal transmitter to transmit a first signal to an object to be tested; the controller controls a signal receiver to receive a second signal, which is obtained after the first signal is transmitted by the object; the controller determines a coordinate relationship between the spatial position of said object and a signal source space according to the first signal and the second signal, wherein the signal source space is a coordinate space where the first signal transmitted by the signal transmitter is located; and the controller maps the second signal back to the signal source space according to the coordinate relationship between the spatial position of the object and the signal source space, to obtain a signal source space signal so as to reconstruct a sensing signal.

The present disclosure provides systems and methods for calibration. In one example, the method may comprise optical image analysis for calibration. The method may comprise generating an optical projection of one or more calibration features onto a material surface provided in a material fabrication or processing machine, and determining one or more spatial characteristics of the calibration features. The one or more spatial characteristics may comprise a distance, a position, an orientation, an alignment, a size, or a shape of one or more calibration features. The one or more spatial characteristics may be used to adjust at least one of (i) a position or an orientation of an imaging unit relative to the material surface and the material fabrication or processing machine, (ii) an angle or an inclination of the material surface relative to the imaging unit, and (iii) one or more imaging parameters of the imaging unit.

A system comprising a scanner to scan an object and a controller. The controller can cause an object to be moved to a plurality of locations to be scanned by the scanner. At each location the controller can cause the scanner to scan the object to create scan data and can cause a reference device to create reference data relating to the object. The scan data can be processed to create scan position data indicative of a measured scan position of the object and can cause the reference data to be processed to create reference position data indicative of a measured reference position of the object. The controller can also cause the generation of error data indicative of a position error in the scan data at each of the plurality of locations based on the scan position data and the reference position data.

The present disclosure relates to systems and methods for object measurement. The systems may obtain an image of an object with a light bar acquired by an imaging device. The light bar may be formed by an optical sensor irradiating the object with a light beam. The systems may obtain a measurement model. The measurement model may be configured to simulate a curved surface formed by the light beam. The systems may determine position information of at least a portion of the object based at least in part on the image of the object with the light bar and the measurement model.

Calibrating a camera and/or a lidar sensor of a vehicle or a robot involves a camera capturing images of a vehicle or robot environment. The lidar sensor emits a real pattern into the vehicle or robot environment in at least one portion of a detection range of the camera, and the real pattern is captured by the camera. A virtual pattern generated in a coordinate system of the lidar sensor is projected onto a virtual plane in the vehicle or robot environment by the lidar sensor. Laser radiation emitted by the lidar sensor penetrates the virtual plane and the real pattern correlating with the virtual pattern is generated on a real projection surface. The real pattern captured by the camera is recalculated onto the virtual plane based on a surface profile of the real projection surface. A rectified virtual pattern is generated in a coordinate system of the camera and the camera and/or lidar sensor is/are calibrated by comparing the virtual pattern and the rectified virtual pattern.

A system for calibrating a three-dimensional scanning device includes a structured-light scanner capable of performing a structured-light operation, and a processor that performs calibration on a device under calibration (DUC). The structured-light scanner captures a base image by performing the structured-light operation prior to calibration. The structured-light scanner captures a calibration image with respect to corresponding DUC during calibration, and the calibration image is inputted to the processor, which determines transformation mapping from the calibration image to the base image. The determined transformation is then transferred to the DUC during calibration.

An embodiment provides an inspection apparatus for a display device, including: a light supplier that supplies light to a surface of the display device; an inspection pattern portion positioned between the display device and the light supplier; a measurement portion that measures reflected light reflected from the surface of the display device; and a processor that processes data of the reflected light measured by the measurement portion, wherein the processor includes a calibration data portion including calibration data and a calibrator calibrating the data using the calibration data of the calibration data portion.