The present disclosure provides a method for measuring a blade cross-section profile based on a line structured-light sensor at a high precision, including: (10) pose calibration on a line structured-light sensor; (20) calibration on a rotation axis: calibrating the rotation axis with a lateral datum plane of a blade; and (30) cross-section profile measurement on a target measured blade: establishing a global coordinate system, and converting blade cross-section curve feature data acquired by a data coordinate system to the coordinate system for splicing, thereby measuring a blade cross-section profile. The present disclosure reduces the error arising from transfer of calibration objects, reduces the rotation error because it does not involve the rotation angle of the turntable when calibrating the rotation axis and the rotation center, and reduces the translational error of the line structured-light sensor as positions for rotating the line structured-light sensor in two times are unchanged.

An acquisition device for the at least partially automated acquisition of multiple object data sets of at least one object. The acquisition device includes at least one object data acquisition unit for the acquisition of object data, at least one object carrier unit for arranging the object, and at least one reference unit that is at least provided to output, in particular optically output, a reference element for a size classification of the object.

A detection device includes: a detector that detects an object from a first viewpoint; an information calculator that calculates first model information including shape information on the object from the first viewpoint by using detection results of the detector; a light source calculator that calculates light source information on the light source by using a first taken image obtained by imaging a space including a light source that irradiates the object with illumination light and including the object; and a position calculator that calculates a positional relation between the first viewpoint and the object by using the light source information as information used to integrate the first model information and second model information including shape information obtained by detecting the object from a second viewpoint different from the first viewpoint.

Systems, methods, and apparatus for acquiring surface profile information (e.g., depths at multiple points) from limited-access structures and objects using an autonomous or remotely operated flying platform (such as an unmanned aerial vehicle). The systems proposed herein use a profilometer to measure the profile of an area on a surface where visual inspection has indicated that the surface has a potential anomaly. After the system has gathered data representing the surface profile in the area containing the potential anomaly, a determination may be made whether the collected image data indicates that the structure or object should be repaired or may be used as is.

The present invention relates to a high-speed imaging sensor system in which single-photon detectors are provided in an architecture adapted for high-speed processing of the output of the detectors with high reliability to filter out false positives.

An intraoral scanning system is described herein. The intraoral scanning system includes a scanning device and a processing device. The scanning device is configured to illuminate an object of interest with a burst light pattern at one or more intervals and receive a set of reflected images reflected off the object of interest. The processing device is configured to receive the set of reflected images from the scanning device and convert the set of reflected images into a three-dimensional model of the object of interest. The burst light pattern comprises a first image and a second image in succession. One of the first image and the second image is a structured light image and the other of the first image and the second image is an unstructured light image.

A projecting apparatus includes a projecting device, an image-capturing device and a processing device. The projecting device projects a reversible structured light code onto a surface. The image-capturing device captures the reversible structured light code projected onto the surface and obtains image data. The processing device is coupled to the projecting device and the image-capturing device. The processing device receives the image data, generates three-dimensional point cloud information by performing decoding on the image data, and obtains scanning shift information corresponding to the projecting device according to the three-dimensional point cloud information and three-dimensional information corresponding to the surface.

A hand-held device for obtaining a three-dimensional topological surface profile of a tire, the device comprising: a base comprising an aperture; a light source arranged in use to generate an elongate pattern of light, and to project said pattern through the aperture onto a rolling surface of the tire; a detector arranged to image a region of the rolling surface of the tire; a plurality of pairs of guide wheels mounted on respective axles mounted on the base, wherein the guide wheels on adjacent axles are linked by gears; and a rotary encoder arranged to generate a signal corresponding to rotation of an axle.

A method of scanning an oral cavity including: acquiring, using an intraoral scanner (IOS) head, without changing a position of the IOS head, a first image of a first region of interest (ROI) and a second image of a second ROI where the first and the second ROIs are of different portions of a dental arch of the oral cavity and do not overlap; reconstructing depth information for the first and the second ROI; and generating a single model of the dental arch by combing the depth information.

The present disclosure provides an apparatus. The apparatus according to the present disclosure comprises: at least one first light source configured to irradiate illumination light to an object on a reference surface; at least one second light source configured to irradiate pattern light to the object, a plurality of cameras configured to capture one or more illumination images and one or more pattern images; and one or more processors configured to determine a plurality of outlines indicating edges of the object based on two or more images captured in different directions among the one or more illumination images and the one or more pattern images; determine a virtual plane corresponding to an upper surface of the object based on the plurality of outlines; and determine an angle between the virtual plane and the reference plane.