Disclosed are a head mounted display (HMD), and a method for controlling the same. The HMD includes: a body having a display unit; a lens driving unit provided at the body, and configured to move a lens unit spaced apart from the display unit, wherein the lens driving unit includes: a lens frame having a first tube portion protruded in a first direction, and coupled to the body; a lens housing having a second tube portion protruded in the first direction and having the lens unit, the second tube portion relatively moved on the first tube portion; a link unit coupled to the lens frame and the lens housing, and configured to move the lens housing; and a driving unit provided at one side of the first tube portion, and configured to operate the link unit.

The invention presents a process for determining a video as being a spoof or a genuine recording of a live biometric characteristic, characterized in that it comprises the steps of: preprocessing (200) the video, determining a liveness score (300) of the video, said determination comprising, for each frame of a plurality of frames (j) of the video: computing a difference between a motion intensity of a current frame and that of each frame of a set of preceding frames to infer a differential motion intensity of the current frame, inferring (330), from the differential motion intensities of the plurality of frames, a motion intensity of the video, comparing (340) said motion intensity to a predetermined threshold, and assigning a liveness score to the video, and determining (400) whether the video is a genuine recording of a biometric characteristic or a spoof.

Disclosed herein are a method and apparatus for active identification based on gaze path analysis. The method may include extracting the face image of a user, extracting the gaze path of the user based on the face image, verifying the identity of the user based on the gaze path, and determining whether the face image is authentic.

A display device includes a directional illuminator providing a light beam, a display panel downstream of a directional illuminator, for receiving and spatially modulating the light beam, and a beam redirecting module downstream of the display panel, for variably redirecting the spatially modulated light beam. Steering the illuminating light by the beam redirecting module enables one to steer the exit pupil of the display device to match the user's eye location(s).

In general, one innovative aspect of the subject matter described in this specification can be embodied in a computer-implemented method. The method includes, detecting, by an imaging device, the presence of an object to be imaged. The method further includes, measuring, by the imaging device, a first characteristic of the object to be imaged, and measuring, by the imaging device, a second characteristic of the object to be imaged. The method further includes, determining, by a computing device, that at least one of the first characteristic of the object or the second characteristic of the object exceeds a threshold; and in response to determining, indicating, by the computing device, whether the object to be imaged is one of a spoofed object or an actual object.

A user recognition method that uses an iris is provided. The user recognition method includes generating a first mask for blocking a non-iris object area of an iris image, generating a converted iris image, in which the non-iris object area is blocked according to the first mask, generating a second mask for additionally blocking an inconsistent area, in which quantization results of the converted iris image are inconsistent, by adaptively transforming the first mask according to features of the converted iris image, obtaining an iris code by quantizing pixels included in the iris image, obtaining a converted iris code, in which portions corresponding to the non-iris object area and the inconsistent area are blocked, by applying the second mask to the iris code, and recognizing a user by matching a reference iris code, stored by the user in advance, to the converted iris code.

Some implementations of the disclosure involve, at a device having one or more processors, one or more image sensors, and an illumination source, detecting a first attribute of an eye based on pixel differences associated with different wavelengths of light in a first image of the eye. These implementations next determine a first location associated with the first attribute in a three dimensional (3D) coordinate system based on depth information from a depth sensor. Various implementations detect a second attribute of the eye based on a glint resulting from light of the illumination source reflecting off a cornea of the eye. These implementations next determine a second location associated with the second attribute in the 3D coordinate system based on the depth information from the depth sensor, and determine a gaze direction in the 3D coordinate system based on the first location and the second location.

Images perceived to be substantially full color or multi-colored may be formed using component color images that are distributed in unequal numbers across a plurality of depth planes. The distribution of component color images across the depth planes may vary based on color. In some embodiments, a display system includes a stack of waveguides that each output light of a particular color, with some colors having fewer numbers of associated waveguides than other colors. The stack of waveguides may include by multiple pluralities (e.g., first and second pluralities) of waveguides, each configured to produce an image by outputting light corresponding to a particular color. The total number of waveguides in the second plurality of waveguides is less than the total number of waveguides in the first plurality of waveguides, and may be more than the total number of waveguides in a third plurality of waveguides, in embodiments where three component colors are utilized.

An image processing method performed by a processor and including: a step of acquiring a choroidal vascular image; a step of detecting a vortex vein position from the choroidal vascular image; a step of identifying a choroidal vessel related to the vortex vein position; and a step of finding a size of the choroidal vessel.

Disclosed is a method of identifying dementia by at least one processor of a device. The method includes performing a first task that causes a first object to be displayed on a first region of a screen displayed on a user terminal; and when a preset condition is satisfied, performing a second task that causes at least one object, which induces the user's gaze, to be displayed instead of the first object on the screen of the user terminal.