In examples, a relative skin reflectance of a captured image of a subject is determined. The determination selects from the captured image pixels of the subject's face and pixels in the background and normalizes luminance values of the skin pixels using the background pixels. The relative skin reflectance value is determined for the captured image, based on the normalized luminance values of the skin pixels. Optionally the relative skin reflectance value is qualified, based on thresholds of skin reflectance values, as suitable for biometric use. Optionally, a non-qualifying captured image is flagged and, optionally, another image is acquired, or the non-conforming image is processed further to transform the image into a suitable image for biometric analysis.

A head-mounted display system and a 6-degree-of-freedom tracking method and apparatus thereof are disclosed. The method includes: controlling two channels of tracking cameras so that central moments of exposure durations of each frame of the two channels of tracking cameras are same, and controlling so that a lightening moment of the LED lights on the handle controller is synchronized with the middle moment of the exposure duration of an even-number frame of the two channels of tracking cameras; calculating 6-degree-of-freedom tracking data of the head-mounted display device in a three-dimensional space in real time according to acquired image data of an odd-number frame of the two channels of tracking cameras; and calculating 6-degree-of-freedom tracking data of the handle controller in the three-dimensional space in real time according to acquired image data of an even-number frame of the two channels of tracking cameras.

An object recognition system of the present disclosure includes: a light source section that irradiates a subject with dot light having a predetermined pattern; an event detection sensor that receives the dot light having the predetermined pattern reflected by the subject and detects, as an event, that a change in luminance of a pixel exceeds a predetermined threshold; and a signal processor that performs, in a case where a plurality of successive pixels in a pixel array section of the event detection sensor detects occurrence of an event in a certain period, processing of removing the event as noise, the plurality of successive pixels being equal to or greater than a predetermined number of pixels.

The present invention relates to a uterine cervical image acquisition apparatus which acquires and displays images of a uterine cervix, and in some cases can automatically diagnose the onset of a disease related to the uterine cervix, the apparatus being characterized by comprising: a main body in which a camera for acquiring uterine cervical images is installed on one side, a user interface for displaying the uterine cervical images and inputting user touch commands is installed on the opposite side, and a handlebar unit is formed in a downward direction; a light source unit which emits light toward the front of the main body; a battery which is positioned inside the handlebar unit to supply power for charging and operation; an operation button unit which includes at least an image capturing button, a zoom-in button, and a zoom-out button formed on the handlebar unit; a memory for storing the captured uterine cervical images; a communication unit for transmitting the uterine cervical images to a reading computer; an image transmission control unit for controlling to store the captured uterine cervical images in the memory, encrypt selected uterine cervical images, and transmit the encrypted images to the reading computer; a display screen control unit which controls to display, on the left and right or above and below the captured uterine cervical display images, a menu bar for receiving the user touch commands; and a camera control unit which controls zooming and auto-focusing of the camera and the brightness of the light source unit according to operations of the provided button.

A virtual reality-based eyeball tracking method and system are provided. Eyeball calibration data is presented to eyes of a user through a display, and then a binocular pupillary distance of the user is obtained through the eyeball calibration data. A left tracking camera captures reflected infrared light of a turned on left infrared light source, and a right tracking camera captures reflected infrared light of a turned on right infrared light source, so that tracking data of one eye is formed in each specific frame. Tracking data of the other eye in the specific frame is calculated according to the binocular pupillary distance and the tracking data of one eye. The tracking data of one eye and the tracking data of the other eye are arranged according to a time sequence of the specific frame to form binocular tracking data so as to complete eyeball tracking.

A remote monitoring device and a remote monitoring method thereof are provided. An energy harvesting device converts energy harvested from the surrounding environment into electrical energy for storage. An image capturing device captures an image of a monitored object to generate a captured image. When the power stored in the energy harvesting device meets a preset condition, a control circuit outputs monitoring information based on the captured image.

An apparatus that is capable of displaying a good live view image even during continuous emission photographing. The apparatus includes a sensor, a memory device that stores a set of instructions, and at least one processor that executes the set of instructions to obtain a display image cyclically using the sensor, and obtain a flash control image accompanied with a pre-emission of a first flash unit using the sensor at a non-accumulation timing at which the sensor does not perform charge accumulation for cyclic obtainment of the display image.

A focusing method of a camera for obtaining an image of a surveillance area by performing a pan-tilt-zoom (PTZ) operation is included. The focusing method includes: determining whether a region of interest set in the surveillance area is included in a first image obtained by the camera; converting a mode according to a result of the determination by selecting a first mode in which focusing is performed using a first focusing algorithm or a second mode in which focusing is performed using a second focusing algorithm that is different from the first focusing algorithm; and focusing the camera with respect to the first image according to the first mode or the second mode.

An image capturing apparatus communicates with a strobe device used for image capturing and acquires preliminary light emission result information performed by the strobe device. A light control process for determining a light amount of main emission by the strobe device for main image capturing is executed based on the acquired preliminary light emission result information. In a case where an image capturing frequency for repeating image capturing is higher than a threshold value, information which is different from information on the light amount of main emission and is used for settings of preliminary light emission or main light emission is communicated by dividing the information into information acquired by a first communication processing before preliminary light emission and information communicated by a second communication processing after preliminary light emission.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that validate the synchronization of controllers in an aquaculture environment. One of the methods includes an image processor that receives images generated by a first image generating device that includes a light filter that is associated with light of a particular light frequency while an aquaculture environment was illuminated with light. Based on the image that was generated by the first image generating device, the image processor determines whether the intensity value of the light frequency in the image satisfies a threshold value. Based on determining whether the intensity value of the light frequency in the image satisfies the threshold value, the image processor determines whether the aquaculture environment was illuminated with light of the particular light frequency when the image was generated. The image processor provides for output an indication of whether the aquaculture was illuminated with light of the particular frequency when the image was generated.