A display apparatus of the disclosure includes a reflection module; a camera configured to capture a first image in a first position located at the rear of the reflection module and capture a second image in a second position exposed to the outside of the display apparatus; a driver configured to move at least one of the camera and the reflection module; a controller configured to determine the presence of a user based on the first image captured by the camera in the first position, and to control the driver to move at least one of the camera and the reflection module so that the camera is located in the second position, based on the determination that the user is present; and an inputter configured to receive a user input.

Gaze is corrected by adjusting multi-view images of a head. Image patches containing the left and right eyes of the head are identified and a feature vector is derived from plural local image descriptors of the image patch in at least one image of the multi-view images. A displacement vector field representing a transformation of an image patch is derived, using the derived feature vector to look up reference data comprising reference displacement vector fields associated with possible values of the feature vector produced by machine learning. The multi-view images are adjusted by transforming the image patches containing the left and right eyes of the head in accordance with the derived displacement vector field.

The present invention addresses the problem of providing technology that makes it possible to perform verification for the purposes of distribution management, authenticity assessment, and the like of merchandise without building an RFID chip into each of a plurality of fasteners. The present invention is characterized in that image characteristics of a component of a product to be verified are acquired and the product to be verified is verified on the basis of the acquired image characteristics of the component.

The invention is related to a method for calibrating an eye tracking device within a head-mounted display (HMD) comprising the steps of acquiring with the HMD via an image sensor, at least one optical target image from an optical target, wherein the optical target contains image points in a pattern, indexing image points within the optical target image wherein the image points are indexed by, selecting a rigid region of the optical target image, assigning indices to image points within the rigid region, fitting a polynomial approximation function to at least one column and one row of the image points of the region, predicting the location of at least one image point using the fitted polynomial approximation function, assigning the predicted image point an index, inputting indexed image points into an optimization algorithm that calculates a hardware calibration of the HMD, and writing hardware calibration values calculated from the optimization algorithm to the HMD unit.

In a number of aspects, the invention discloses a device (100) comprising one or more infrared light sources (40, 41); one or more visible light sources (50, 51); an image sensor (10); a processing unit (20) configured to analyze a series of images of a region of interest output by the image sensor; a control unit (30) configured to generate one or more of an activation of the one or more visible light sources or an alarm based on a command received from the processing unit; wherein the analyze comprises detecting a moving foreground in the series of images of the region of interest, tracking one or more characterizing features in the moving foreground and classifying the one or more characterizing features into two of more types of objects of interest, a type of an object of interest determining a command sent by the processing unit to the control unit.

A camera system for an X-ray counter system utilizing an X-ray generator to image components of products placed on a tray, the camera system comprising: a plurality of cameras positioned above the tray for imaging the products. The tray includes a plurality of stages positioned about a central crosshair. Upon imaging the products on the stages of the tray, the camera system determines the size and number of products on the tray without user imputation. A light source assembly provides illumination to ensure bright field of vision for the cameras to read codes contained on the products that relay information on the previous calculation of the number of components stored on the products. After the X-ray generator images the products, a computer system determines the current number of components stored on the products. New labels may be printed to reflect any changes in the information for the products.

A near-eye display system includes a display panel to display a near-eye lightfield frame comprising an array of elemental images and an eye tracking component to track a pose of a user's eye. The system further includes a lenslet array and a rendering component to adjust the focal points of the array of elemental images in the integral lightfield frame based on the pose of the user's eye. A method of operation of the near-eye display system includes determining, using an eye tracking component of the near-eye display system, a first pose of a user's eye and determining a desired focal point for an array of elemental images forming an integral lightfield frame based on the first pose of the user's eye. The method further includes changing the focal length of light projecting out of a lenslet array based on the first pose of the user's eye.

A display method and a display system for a vehicle includes a display unit, a camera unit, a processing circuitry connected to the display unit and the camera unit configured to cause the display system to determine, by the processing circuitry, the passenger of interest out of at least one passenger present in the vehicle, provide, by the camera unit, the image view of the passenger of interest, and display, by the display unit the image view of the passenger of interest on the display unit.

A work supporting apparatus includes: a visible light camera (visible light image photographing unit) configured to photograph a visible light image; a far-infrared camera (thermal image photographing unit) configured to photograph a thermal image; a work progress status determining unit configured to determine a work progress status from the visible light image photographed by the visible light camera and the thermal image photographed by the far-infrared camera; and a display configured to display a determination result of the work progress status.

A system for operating surgical imaging devices using configurable processing resources of a virtual camera control unit connected to a network includes an allocation manager for allocating processing resources, a primary imaging device, a secondary imaging device, a feature module, and a load balance module. The load balance module adjusts one or more settings of one or more features of the primary and secondary imaging devices based on the available processing resources and the desired settings of the one or more features.