A head-mounted display device includes an eye tracking sensor configured to obtain eye information by tracking both eyes of a user, a depth sensor configured to obtain depth information about one or more objects, and a processor configured to obtain information about a gaze point based on the eye information, and determine a measurement parameter of the depth sensor based on the information about the gaze point.

A head-mounted display device includes an eye tracking sensor configured to obtain eye information by tracking both eyes of a user, a depth sensor configured to obtain depth information about one or more objects, and a processor configured to obtain information about a gaze point based on the eye information, and determine a measurement parameter of the depth sensor based on the information about the gaze point.

A substrate and a covering structure coupled to the substrate form a chamber. The chamber houses an emitter configured to emit a radiation, a resonant reflector, a detector, and a fixed reflector. First and second windows extend through the covering structure. The emitter, the first reflector and the second reflector are reciprocally arranged such that radiation emitted from the emitter is reflected by the fixed reflector towards the MEMS reflector for further reflection towards the first window to form an output signal. The detector and the second window are reciprocally arranged such that an incoming radiation passing through the second window is received by the detector. The electronic module can be used for a 3D sensing application.

The invention relates to a device for the biometric acquisition and processing of an image of a part of the human body with dermatoglyphs, comprising a contact surface (3) configured so that the part of the human body is affixed to this contact surface (3), a light source (4) configured to project onto the part of the human body a light pattern having a sinusoidal modulation of light intensity in a main direction with a target frequency, an imager (2) configured to acquire an image, and an automated data processing system (7) configured to implement a fraud detection method and a biometric identity recognition method using a periodic component parameter representative of an amplitude of a sinusoidal oscillation of light intensity in the acquired image in accordance with the main direction at the target frequency.

A biometric input device includes a sensor assembly that generates images of a user's palm that is within a field of view (FOV) using an image sensor behind a polarizer with a first polarization. The palm within the FOV is illuminated at different times with light having the first polarization and the second polarization. The images are acquired using polarized light and provide images of surface and subcutaneous features. The images may then be processed to identify the user. The device may include a touchscreen to provide information to the user or receive input from a user. The device may include a stand to mount the device at a convenient location, such as at an entry portal, point of sale, and so forth.

An optical device includes an array light source including a plurality of light emitting elements and configured to emit mutually incoherent light; and a lens array including a plurality of lenses and configured to transmit light emitted from the light emitting elements. Light emitted from one light emitting element of the plurality of light emitting elements of the array light source is incident on at least two lenses of the plurality of lenses of the lens array.

A non-transitory computer-readable medium encoded with a computer-readable program which, when executed by a processor, will cause a computer to execute a method of authenticating a 3-D object with a 2-D camera, the method including building a pre-determined database. The method additionally includes registering the 3-D object to a storage unit of a device comprising the 2-D camera, thereby creating a registered 3-D model of the 3-D object. Additionally, the method includes authenticating a test 3-D object by comparing the test 3-D object to the registered 3-D model.

A unified imaging device used for detecting and classifying objects in a scene including motion and micro-vibrations by receiving a plurality of images of the scene captured by an imaging sensor of the unified imaging device comprising a light source adapted to project on the scene a predefined structured light pattern constructed of a plurality of diffused light elements, classifying object(s) present in the scene by visually analyzing the image(s), extracting depth data of the object(s) by analyzing position of diffused light element(s) reflected from the object(s), identifying micro-vibration(s) of the object(s) by analyzing a change in a speckle pattern of the reflected diffused light element(s) in at least some consecutive images and outputting the classification, the depth data and data of the one or more micro-vibrations which are derived from the analyses of images captured by the imaging sensor and are hence inherently registered in a common coordinate system.

Provided are an optical image capturing unit, an optical image capturing system and an electronic device. The optical image capturing unit 20 includes: an optical converging device 21; a diaphragm 22 disposed on a back focal plane 212 of the optical converging device 21, where the diaphragm 22 is provided with a window 220; and a photosensing unit 23 disposed under the diaphragm 22, where the optical converging device 21 is configured to converge an optical signal 28 within a specific incident angle range to the window 220, and the optical signal is transmitted to the photosensing unit 23 via the window 220.

The present invention relates to the field of three-dimensional face modeling, and provides a three-dimensional real face modeling method and a three-dimensional real face camera system. The three-dimensional real face modeling method includes the following steps: 1, projecting structured light to a target face, and taking a photo to acquire facial three-dimensional geometric data; 2, acquiring facial skin chroma data and brightness data; 3, triangulating the facial three-dimensional geometric data; 4, acquiring patch chroma data corresponding to each of triangular patch regions; 5, performing interpolation calculation to acquire patch brightness data corresponding to each of the triangular patch regions; and 6, calculating a reflectivity of a facial skin region corresponding to each of pixel points. The three-dimensional real face camera system includes: a standard light source, a control and calculation module and a three-dimensional portrait acquisition unit. By the adoption of the three-dimensional real face modeling method and system, three-dimensional real face information unrelated to a modeling device for three-dimensional modeling and an illumination environment on a modeling site can be acquired.