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.

Provided is a structured light projector including a light source configured to emit light, and a nanostructure array configured to form a dot pattern based on the light emitted by the light source, the nanostructure array including a plurality of super cells each respectively including a plurality of nanostructures, wherein each of the plurality of super cells includes a first sub cell that includes a plurality of first nanostructures having a first shape distribution and a second sub cell that includes a plurality of second nanostructures having a second shape distribution.

The objective of the present invention is to appropriately set a distance range for calculating a gradation degree, in accordance with the height of a workpiece. This three-dimensional measuring device is provided with: a three-dimensional sensor which images a workpiece to acquire three-dimensional information; a setting unit which, on the basis of the acquired three-dimensional information, sets a reference position serving as a height direction reference in the workpiece, and a height direction margin, relative to the reference position, for a gradation degree of a gradation image, and sets a distance range corresponding to the gradation degree of the gradation image; an image converting unit which converts the acquired three-dimensional information into the gradation image on the basis of the distance range; and a detecting unit which employs the gradation image to obtain, three-dimensionally, the shape and/or the position and attitude of the workpiece.

A reality-based model object recognition system using cross-sections includes using photogrammetry to obtain various views of a 3-dimensional (3D) object (e.g. 3D model, 3D reality model, mesh, etc.). The process then generates 2-dimensional (2D) slices, i.e. cross-sections, of the 3D object at various elevations and angles. The relation between the slices is critical for identification. The 2D slices are used as building blocks for automatic recognition and identification and location (e.g. x,y,z+angle) of a real-world equipment mounted on the 3D object and identifying any anomaly in the equipment so that remedial action may be ordered, if needed.

The invention discloses a method for obtaining the geometrical and mechanical parameters of rock samples and a holographic scanning system thereof, wherein the system includes an observation mechanism, a multi-scale penetration mechanism, a grinding mechanism, a rock sample installation mechanism arranged on a three-axis precision motion platform, and an industrial computer controlling the operation mode of each mechanism of the platform Indentation/rotary penetration test, pulse echo signal acquisition, three-dimensional surface topography reconstruction, layer by layer grinding and repeated experiments are carried out. The geometric parameters and corresponding mechanical field parameters are obtained by spatial interpolation of the three-dimensional parameter lattice accumulated by several layers of single-layer rock parameters. The holographic scanning system and method can obtain the real spatial distribution of various media in rock samples. Combined with high performance numerical calculation method, it provides a more scientific method for the analysis of rock mechanical properties, failure and instability.

Systems, devices, and techniques related to matching features between a dynamic vision sensor and one or both of a dynamic projector or another dynamic vision sensor are discussed. Such techniques include casting a light pattern with projected features having differing temporal characteristics onto a scene and determining the correspondence(s) based on matching changes in detected luminance and temporal characteristics of the projected features.

A system for projecting dots onto a three-dimensional image is configured to activate multiple pseudo-random dot projectors sequentially. Each pseudo-random dot projector includes an illumination source and a wavefront modulating element (WME) located along an optical axis in a path traversed by radiation produced by the illumination source. The system is configured to form images of dots in the projection plane along the optical axis. The system may also include controlling circuitry configured to perform a sequential projection operation on the plurality of pseudo-random dot projection systems to produce a temporal sequence of images and aggregate and process the temporal sequence of images to produce a high-resolution depth image of the three-dimensional surface.

An array of more than one digital micro-camera, along with the use of patterned illumination and a digital post-processing operation, jointly create a multi-camera patterned illumination (MCPI) microscope. Each micro-camera includes its own unique lens system and detector. The field-over-view of each micro-camera unit at least partially overlaps with the field-of-view of one or more other micro-camera units within the array. The entire field-of-view of a sample of interest is imaged by the entire array of micro-cameras in a single snapshot. In addition, the MCPI system uses patterned optical illumination to improve its effective resolution. The MCPI system captures one or more images as the patterned optical illumination changes its distribution across space and/or angle at the sample. Then, the MCPI system digitally combines the acquired image sequence using a unique post-processing algorithm.

A method for determining a contour of a frame groove in a rim of a spectacle frame includes illuminating the rim, capturing a plurality of images of the illuminated rim from different predetermined perspectives, evaluating the captured images, and determining a spatial curve of the frame groove based on the evaluated images. The rim is illuminated along the entire circumference of the rim by directed illumination. Moreover, the evaluation of the captured images includes assigning each portion contained in the captured images to a respective surface element of the frame groove on the basis of at least one of the following properties: shadowing of the respective portion, brightness of the respective portion and phase angle of the illumination of the respective portion. Moreover, an apparatus, a computer program, a method for grinding a spectacle lens, and a computer-implemented method for determining a geometry of a spectacle lens are disclosed.

Described herein are a system and a method for object recognition via a computer vision application, the system including at least the following components: an object to be recognized, the object having object specific reflectance and luminescence spectral patterns, a light source which is configured to project at least one light pattern on a scene which includes the object to be recognized, a sensor which is configured to measure radiance data of the scene including the object when the scene is illuminated by the light source, a data storage unit which includes luminescence spectral patterns together with appropriately assigned respective objects, and a data processing unit.