Examples are disclosed herein that relate to determining whether an imaged subject is real or spoofed. One example provides a computing system, comprising, a camera, a light pattern source configured to output a light pattern, a logic subsystem, a storage subsystem storing instructions executable by the logic subsystem to capture, via the camera, an image of a subject illuminated by the light pattern emitted by the light pattern source, determine, based at least upon a contrast of the light pattern in the image, whether the subject is real or a spoof, based at least upon determining that the subject is real, perform an action on the computing system, and based at least up on determining that the subject is a spoof, not perform the action on the computing system.

An apparatus for capturing an image of an object on a platen and including a platen having a surface for receiving the object, wherein the platen is transmissive to an optical wavelength of light, an illumination module configured to illuminate at least a portion of the object with light from an illumination source, and an optical sensing module configured to receive the light from the illumination source after the light interacts with the at least a portion of the object. The light from the illumination source is spatially patterned prior to reaching the object. The illumination module can be configured to create the spatially patterned illumination and/or the platen may include a patterned optical coating creating the spatially patterned illumination. The spatially patterned illumination can include a plurality of discrete areas (e.g., a stepped pattern) of different illumination intensity and/or a gradient of different illumination intensity.

An apparatus for capturing an image of an object on a platen and including a platen having a surface for receiving the object, wherein the platen is transmissive to an optical wavelength of light, an illumination module configured to illuminate at least a portion of the object with light from an illumination source, and an optical sensing module configured to receive the light from the illumination source after the light interacts with the at least a portion of the object. The light from the illumination source is spatially patterned prior to reaching the object. The illumination module can be configured to create the spatially patterned illumination and/or the platen may include a patterned optical coating creating the spatially patterned illumination. The spatially patterned illumination can include a plurality of discrete areas (e.g., a stepped pattern) of different illumination intensity and/or a gradient of different illumination intensity.

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.

Devices and methods for visibly highlighting areas of a region including an imager configured to image the region with a sensitivity to at least one of wavelength, light level, or contrast greater than the human eye, an overlay element configured to visibly highlight areas of the region and registered to the imager to produce alignment of imaged features with highlighted features at the same location on the region, and at least one of a controller executing a program or logic configured to process acquired images from the imager to identify areas of the region determined not visible to the human eye, and control the overlay element to visibly highlight those areas on the region.

Devices and methods for visibly highlighting areas of a region including an imager configured to image the region with a sensitivity to at least one of wavelength, light level, or contrast greater than the human eye, an overlay element configured to visibly highlight areas of the region and registered to the imager to produce alignment of imaged features with highlighted features at the same location on the region, and at least one of a controller executing a program or logic configured to process acquired images from the imager to identify areas of the region determined not visible to the human eye, and control the overlay element to visibly highlight those areas on the region.

An example embodiment includes: an acquisition unit that acquires a first image generated by capturing an object by using a light at a first wavelength, a second image generated by capturing the object by using a light at a second wavelength, and depth information on the object; a detection unit that detects a face included in the second image; a check unit that, based on the depth information, checks whether or not a face detected by the detection unit is one obtained by capturing a living body; and an extraction unit that, based on information on a face checked by the check unit as obtained by capturing a living body, extracts a face image from the first image.

A particle detection method detects presence and location of particles on a target using measured signals from a plurality of structured illumination patterns. The particle detection method uses measured signals obtained by illuminating the target with structured illumination patterns to detect particles. Specifically, the degree of variation in these measured signals in raw images is calculated to determine whether a particle is present on the target at a particular area of interest.

A particle detection method detects presence and location of particles on a target using measured signals from a plurality of structured illumination patterns. The particle detection method uses measured signals obtained by illuminating the target with structured illumination patterns to detect particles. Specifically, the degree of variation in these measured signals in raw images is calculated to determine whether a particle is present on the target at a particular area of interest.

A fingerprint sensor includes four transistors and a photodetector. The first transistor connects a second node with a third node based on a voltage of a first node, where the first node corresponding to a first electrode of the photodetector. The second transistor connects the second node with a read-out line based on a scan signal. The third transistor supplies a reset voltage to the first node based on a first reset signal. The fourth transistor connects the first node with the second node based on a second reset signal.