A virtual reality display device, a display device, and a calculation method of a line-of-sight angle are provided. The virtual reality display device includes: a display screen configured to display a picture to a user, at least one infrared light source, and an infrared camera; and the infrared camera is on a side of the display screen away from an eye of the user, and is configured to acquire an eye image of the eye of the user that is illuminated by the at least one infrared light source.

Systems and methods are disclosed for recommending products or services by receiving a three-dimensional (3D) model of one or more products; performing motion tracking and understanding an environment with points or planes and estimating light or color in the environment; and projecting the product in the environment.

Embodiments of the disclosure relate to an eye tracking device and a virtual reality imaging apparatus. The eye tracking device includes an electromagnetic radiation source configured to emit electromagnetic radiation toward an eye, a lens having a first side surface facing the eye and a second side surface opposite the first side surface, a first reflective film on the first side surface of the lens for reflecting the electromagnetic radiation, a second reflective film on the second side surface of the lens for reflecting the electromagnetic radiation, and an imaging means configured to receive the electromagnetic radiation from the eye, wherein the first reflective film and the second reflective film are positioned to direct the electromagnetic radiation from the eye to the imaging means.

Provided herein are a method of extracting a feature from an image using a laser pattern and an identification device and a robot including the same, and the identification device for extracting a feature from an image using a laser pattern, which includes a first camera coupled to a laser filter and configured to generate a first image including a pattern of a laser which is reflected from an object, a second camera configured to capture an area overlapping an area captured by the first camera to generate a second image, and a controller configured to generate a mask for distinguishing an effective area using the pattern included in the first image and extract a feature from the second image by applying the mask to the second image.

A disclosed monitoring system includes infrared light sources that illuminate a subject in a sequenced manner and a camera that captures images of the subject during periods in which the subject is illuminated by one of the light sources. The system includes a processor that analyzes captured images to determine a brightness measure of the images, and a controller controls output power of the infrared light sources in response to the brightness measure. In response to the processor detecting a brightness measure below a predetermined brightness threshold, the controller is configured to switch off or reduce an output illumination intensity of one of the infrared light sources. A disclosed method further determines whether an emission source is occluded by modulating an intensity of an electromagnetic emission source, detecting whether the modulation pattern is present in captured images, and determining that the emission source is occluded based on the detected modulation.

An ophthalmic device having a single or dual compartment configuration selectively emits infrared and visible light beams onto one or a pair of target eyes. The device performs eye fundus imaging and aids in the detection of ailments as indicated by anomalies in the pupillary reflex.

Local sensing based navigation maps can form a basis for autonomous navigation of a mobile platform. An example method includes obtaining real-time environment information that indicates an environment within a proximity of the mobile platform based on first sensor(s) carried by the mobile platform, detecting navigation features based on sensor data obtained from the first sensor(s) or second sensor(s) carried by the mobile platform, integrating information corresponding to the navigation features with the environment information to generate a local navigation map, and generating navigation command(s) for controlling a motion of the mobile platform based on the local navigation map.

An identification method for identifying a target to be measured includes accepting, from an input section, an information representing a condition for acquiring spectral information specific to a target to be measured, capturing, by a spectrometry camera, an image of the target, acquiring the spectral information specific to the target based on the captured image, and identifying the target based on (i) the spectral information and (ii) a database, stored in a memory, containing a plurality of pieces of spectral information corresponding to a plurality of objects. Acquiring the spectral information includes preferentially acquiring the spectral information specific to the target in a specific wavelength region where the target is identifiable.

A performance capture system is provided to detect one or more active marker units in a live action scene. Active marker units emanate at least one wavelength of light that is captured by the performance capture system and used to detect the active markers in the scene. The system detects the presence of the light as a light patch in a capture frames and determines if the light patch represents light from an active marker unit. In some implementations, various active markers in a scene may emanate different wavelengths of light. For example, wavelengths of light from multi-emitting active marker units may be changed due to various conditions in the scene.

Facial recognition system that compares narrow band ultraviolet-absorbing skin chromophores to identify a subject. Ultraviolet images show much greater facial detail than visible light images, so matching of ultraviolet images may be much more accurate. Embodiments of the system may have a camera that is sensitive to ultraviolet, and a special lens and filter that pass the relevant ultraviolet wavelengths. A database of known persons may contain reference ultraviolet facial images tagged with each person's identity. Reference images and subject images may be processed to locate the face, identify features (such as chromophores), compare and match feature descriptors, and calculate correlation scores between the subject image and each reference image. If the subject is moving, the subject's face may be tracked, a 3D model of the subject's face may be developed from multiple images, and this model may be rotated so that the orientation matches that of the reference images.