An optoelectronic device includes a semiconductor substrate, an array of optical emitters arranged on the substrate in a two-dimensional pattern, a projection lens and a diffractive optical element (DOE). The projection lens is mounted on the semiconductor substrate and is configured to collect and focus light emitted by the optical emitters so as to project optical beams containing a light pattern corresponding to the two-dimensional pattern of the optical emitters on the substrate. The DOE is mounted on the substrate and is configured to produce and project multiple overlapping replicas of the pattern.

There is disclosed an apparatus, system, method and computer program product for recognizing a face, the method comprising: emitting at least one group of structured light to a face to be recognized, successively; capturing a set of light-source-illuminated images of the face when the face is illuminated successively by each group of light of the at least one group of structured light; extracting a first set of features including a feature of each detection point in a set of detection points of the face based on the set of light-source-illuminated images; acquiring a second set of features including a feature of each detected point in a set of detected points of a face template; computing a similarity between the face and the face template based on the first set of features and the second set of features; and recognizing the face as being consistent with the face template if the similarity is larger than a threshold.

Embodiments of the present invention embody motion detection via a camera for mobile platform video gaming and exercise, in either integrated or separately attachable components. The system includes an oral care device. The oral care device, such as a toothbrush, includes one or more targets. Each target designates a specific area of the toothbrush, such as back side, a front side, a brush head or a brush end. A target can be a color or a tag, and can be removably coupled or integrally formed with the toothbrush. The system also includes an application configured to detect the targets, to determine that a property of any of the targets has changed. Based on at least the determination, the application is configured to monitor progress of brushing and to control an element in the application.

Embodiments of the present invention disclose a non-contact 3D fingerprint capturing apparatus and method. The apparatus includes: a housing, a circuit board and a fingerprint reader that are disposed in the housing; the circuit board includes a first control module; the fingerprint reader includes a fingerprint capturing module and a positioning module; the positioning module casts light to a first position point on a finger object; the fingerprint capturing module receives light reflected from the first position point, converts an optical signal into an electrical signal, and sends the electrical signal to the first control module; the first control module judges, according to the electrical signal, whether the first position point is a standard point, the standard point being an aperture with a diameter less than a first threshold and an illumination intensity greater than a second threshold; if the first position point is a standard point, the fingerprint capturing module captures fingerprint images from multiple directions, and transmits the fingerprint images to the first control module; and the first control module creates a 3D fingerprint image according to the fingerprint images. The embodiments of the present invention further provide a non-contact 3D fingerprint capturing method.

An image recognition device includes: a camera unit that generates a distance signal and a luminance signal using reflected light from a plurality of subjects; an image generator that generates a range image from the distance signal and generates a luminance image from the luminance signal; and an image recognition processor that performs image recognition. The image recognition processor divides each of the range image and the luminance image into a plurality of regions, makes a determination, for each of the plurality of regions, as to whether the regions is a first region in which a specific object is clearly not present or a second region other than the first region, and performs image recognition processing on, among the plurality of regions, one or more regions other than the first region.

A 3D (three dimensional) model reconstruction method that includes the steps outlined below. Depth data of a target object corresponding to a current time spot is received. Camera pose data of the depth camera corresponding to the current time spot is received. posed 3D point clouds corresponding to the current time spot are generated according to the depth data and the camera pose data. Posed estimated point clouds corresponding to the current time spot are generated according to the camera pose data corresponding to the current time spot and a previous 3D model corresponding to a previous time spot. A current 3D model of the target object is generated according to the posed 3D point clouds based on a difference between the posed 3D point clouds and the posed estimated point clouds.

A structure light module comprises: a VCSEL substrate comprising a VCSEL array comprising a plurality of individual VCSELs; a first spacer disposed on the VCSEL substrate; a wafer level lens comprising a glass substrate and at least a replicated lens on a first surface of the glass substrate disposed on the first spacer; a second spacer disposes on the wafer level lens; a DOE disposed on the second spacer, where a structure light is projected from the DOE on a target surface for 3D imaging.

Apparatus for projecting a pattern includes a laser source, a collimating lens and a diffractive optical element (DOE) to diffract the collimated laser beam into a specific dot pattern for sensing the depth of a three dimensional (3D) surface.

Apparatus for projecting a pattern includes a laser source, a collimating lens and a diffractive optical element (DOE) to diffract the collimated laser beam into a specific dot pattern for sensing the depth of a three dimensional (3D) surface.

Provided are a device, system, and method for multi-factor multi-biometric access control that authenticate a user based on at least one of what the user knows, what the user possesses and what unique physical, biological and physiological or biometric traits the user has, wherein the device includes a single sensor from which multi-biometric data is derived.