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.

The present disclosure provides an automatic correction method and device for a structured-light 3D depth camera. When the optical axis of a laser encoded pattern projector and the optical axis of an image reception sensor change, an offset of an input encoded image relative to an image block in a reference encoded image is acquired, and then the position of the reference encoded image is oppositely adjusted upwards or downwards according to an offset change to form a self-feedback regulation closed-loop system between the center of the input encoded image and the center of the reference encoded image, so that the optimal matching relation can always be figured out when the optical axes of the input encoded image and the reference encoded image change drastically. Furthermore, depth calculation can be carried out according to the corrected offset.

An apparatus for imaging and a terminal device include a front camera configured to capture a visible light iris image, an iris recognition camera configured to capture an infrared iris image, and an infrared fill-light configured to emit infrared light when the iris recognition camera capturing the infrared iris image. The front camera and the iris recognition camera are packaged into an integrated unit. The integrated unit is coupled with a circuit board. The infrared fill-light is disposed at one side of the circuit board and adjacent to the integrated unit.

To detect front-parked vehicles at night (i.e. a vehicle is parked with its head facing the inside of a parking space), a detection device uses the light beam from a passing-by vehicle to extract at least a reflection of at least a tail light or at least a portion of a back bumper from an image captured for a parking space.

A method of detecting a support structure in a navigational controller includes: controlling a depth sensor to capture a plurality of depth measurements corresponding to an area containing the support structure on a ground plane; generating, for each of the depth measurements, a projected depth measurement on the ground plane; selecting a boundary set of the projected depth measurements defining a boundary of the projection; selecting, based on angles between adjacent pairs of the boundary set of projected depth measurements, a subset of the projected depth measurements; generating a region of interest based on the subset of the projected depth measurements; retrieving a candidate subset of the depth measurements corresponding to the projected depth measurements in the region of interest; and generating a support structure plane definition based on the candidate subset of depth measurements.

One embodiment of the present disclosure sets forth a near-eye display system. The near-eye display system comprises a structured light generator including a plurality of reflective surfaces and configured to project a structured light pattern into an eye region of the near-eye display device, the structured light pattern generated based on a diffraction grating created by displacing at least a subset of the plurality of reflective surfaces. The near-eye display system further comprises an image capture device configured to capture one or more images of the structured light pattern incident on an eye proximate to the eye region and a depth mapping controller configured to generate a depth map of the eye based on the captured one or more images.

Systems and methods provide for a document fraud detection system for identifying fraudulent documents. The document fraud detection system can include up to three steps of fraud detection, where if the document fails any of the three steps, the document can be flagged for further review. In another embodiment, the document fraud detection system can score each of the three tests, where the scores represent the likelihood that the document is fraudulent. If the combined score satisfies a predetermined criterion, the document can be flagged as potentially fraudulent. The three tests can include analyzing a scanned image of the document and comparing to other similar documents to determine if there have been any alterations. The second test can compare indents to previous documents, and the third test can analyze chemical and biometric factors that may indicate whether the document has been altered.

A head-mounted display (HMD) presents content for viewing by users. The HMD includes a display element for displaying content to a user wearing the HMD and a detector (e.g., camera) for capturing one or more images of a retina of an eye of the user, where the one or more images are captured while the retina is reflecting light originating from one or more tracking light sources positioned at predetermined locations. The HMD also includes a controller for identifying one or more features of the retina based on the captured one or more images of the retina and for determining one or more optical metrics based in part on the identified one or more features of the retina.

A biological information detection device includes a light source, an image capturing device, and one or more arithmetic circuits. The light source projects dots formed by light onto a target including a living body. The image capturing device includes photodetector cells and generates an image signal representing an image of the target onto which the dots are projected. The one or more arithmetic circuits detect a portion corresponding to at least a part of the living body in the image by using the image signal and calculate biological information of the living body by using image signal of the portion.

A gaze-tracking system for use in a head-mounted display apparatus. The gaze-tracking system includes: at least one first optical element comprising particles of a phosphorescent or fluorescent material dispersed therein, the particles of the phosphorescent or fluorescent material being dispersed in a manner that when excited by electromagnetic radiation incident thereupon, the particles produce structured light of a given wavelength, wherein the produced structured light illuminates a user's eye; at least one camera for capturing an image of reflections of the structured light from the user's eye, wherein the image is representative of a form of the reflections and a position of the reflections on an image plane of the at least one camera; and a processor coupled in communication with the at least one camera, wherein the processor is configured to process the captured image to detect a gaze direction of the user.