Systems and methods for realizing practical applications of high speed digital image correlation (DIC) for dynamic quantities of interest are provided. In particular, a series of images are captured for a component of interest in which a non-filtered sensor and an analog low-pass filtered sensor are included within the region of interest for the series of images. Displacement signals are obtained for the component of interest, the non-filtered sensor, and the analog low-pass filtered sensor by applying digital image correlation processing to the series of images, which may also be wavelet filtered. Dynamic quantities of interest may be generated and derived from the displacement signals after having been wavelet filtered. Such dynamic quantities of interest based on the wavelet filtered DIC-derived displacement signal may be compared to sensor-derived dynamic quantities of interest to determine if aliasing is or is likely to be present.

The various embodiments described herein include methods and/or devices for directing flash illumination. In one aspect, a method is performed at a device including a camera, one or more processors, and memory storing one or more programs configured for execution by the one or more processors. The method includes directing flash illumination to an identified area of interest in a scene by adjusting power supplied to respective elements of a flash array. The method further includes capturing, via the camera, an image of the scene as illuminated by the flash illumination.

Implementations of the present specification provide article damage evaluation methods and apparatuses. In one aspect, the method includes: determining, by a terminal device, that a photographing device is in an active state; responsive to determining that the photographing device is in the active state, identifying, from a field of view of the photographing device, a particular surface region of the article that encompasses the damage to the article; obtaining an image of the particular surface region using the photographing device; determining surface structure information and surface material information of the surface region of the article using one or more infrared emitters and one or more infrared receivers; and generating, from the image, the surface structure information, and the surface material information, and based on a predetermined damage evaluation model, an output specifying a degree of the damage to the article.

A method to determine the dimensions and distance of a number of objects in an environment includes providing a number of objects including a marking element; recording a visual image-dataset of at least one of the objects with a camera; and determining a parameter value from the image of a marking element in the image-dataset or from a measurement of an additional sensor at the location of the camera. The parameter value is a value depending from the distance of the object to the camera. The method further includes calculating the relative distance between the object and the camera based on the parameter value and calculating dimensions of the object from at least a part of the image of the object in the image-dataset and the calculated distance. A related device, a related system and a related control unit for a virtual reality system are also disclosed.

A structured-light three-dimensional sensing system configured to project dots forming a structured light pattern including multiple unique patterns, configured to capture an image of an object, configured to recognize the dots, perceive the unique patterns, associate each pixel with the unique patterns, and assign a class ID representing a unique pattern and a subclass ID representing a portion of the unique pattern to each of the pixels, configured to count a number of neighboring pixels having the same assigned class ID, for each class ID, determine the pixel having a greatest number of neighboring pixels having the same assigned class ID as a center pixel, and, for each pixel belonging to a dot, re-arranging according to the pixel's sub-class ID, and configured to determine a disparity of each dot from a respective reference point, and to estimate a depth of a feature of the object.

A light-emitting device includes a light diffusing member that diffuses light emitted from a light source so that an object to be measured is irradiated with the light; and a holding unit that holds the light diffusing member and is provided on a wire connected to the light source so as to be located in an uncoated region of the wire.

A light emitter includes: a substrate; a capacitor provided on the substrate; a light source that is provided on the substrate and to which a driving current from electric charges accumulated in the capacitor is supplied; a cover section through which light emitted from the light source is transmitted and that is disposed in an optical axial direction of the light source; and a support section that is provided on a part of the substrate excluding a part between the capacitor and the light source and supports the cover section.

A laser source for use in a structured light projector includes a substrate, one or more first VCSELs on the substrate, and one or more second VCSELs on the substrate. The one or more first VCSELs each have a first aperture width and each separately extend above a surface of the substrate. The one or more second VCSELs each have a second aperture width different from the first aperture width, and each separately extend above a surface of the substrate. Using an array of VCSELs with different aperture widths provides emitted radiation having different wavelengths, thus providing different speckle patterns. When the different speckle patterns are averaged upon being received at the detector, speckle noise is reduced. The VCSEL can also include a plurality of subwavelength structures to steer the light output. Such subwavelength structures can also be used on the surface of other VCSELs, including standard VCSELs.

A three-dimensional scanning device including: a projection unit for projecting a wide-area pattern and a local pattern on an object to be measured; an image acquisition unit for acquiring an image of the object on which the wide-area pattern and the local pattern are projected; a detection unit for detecting the locations of a plurality of first IDs that are identifiers formed in the shape that can be distinguished utilizing image information in a space within a certain range in the image of the object, on which the wide-area pattern is projected, acquired by the image acquisition unit; a collection unit for collecting data on a brightness value within a predetermined certain distance with respect to the center point of the detected first ID; and an operation unit for determining a first ID value of the first ID using information of the collection unit.

A wound assessment method which can estimate a moisture level of the wound, and related image capture device. The wound area is imaged at least twice where the wound is illuminated under different illumination light intensities. The first image captured using a relatively low illumination light intensity is analyzed to assess the wound, for example measuring its size, color and texture. The second image captures using a relatively high illumination light intensity (e.g. using a flash) is analyzed to estimate the moisture level of the wound. The moisture level estimation method extracts white connected components from the second image, and estimates the moisture level based on the number, sizes, and centroid distribution of the white connected components. A 3D image of the wound may also be captured, e.g. using a structured-light 3D scanner of the image capture device.