A liquid crystal display apparatus is disclosed. The liquid crystal display apparatus includes: a liquid crystal display panel; an infrared transmitting reflector plate configured to transmit an infrared light and reflect a visible light; an infrared source configured to emit an infrared light which is to be transmitted through the infrared transmitting reflector plate and the liquid crystal display panel to a fingerprint to be identified on a light exit side of the liquid crystal display panel; and a fingerprint identification module disposed on the side of the infrared transmitting reflector plate facing away from the liquid crystal display panel, and configured to receive a part of the infrared light emitted by the infrared source. The part of the infrared light being reflected by the fingerprint to reach the fingerprint identification module through the liquid crystal display panel and the infrared transmitting reflector plate for performing a fingerprint identification.

The present disclosure relates to a mobile terminal having a lighting unit and a control method thereof. A mobile terminal according to one implementation includes a lighting unit, a camera, and a controller configured to control the lighting unit to irradiate illumination light to a subject to be captured through the camera, and control the camera to capture the subject irradiated with the illumination light, wherein the controller is configured to determine a material of the subject based on information related to the illumination light irradiated on the subject captured through the camera.

The present description relates to light patterns used in a live action scene of a visual production to encode information associated with objects in the scene, such as movement and position of the objects. A data capture system includes active markers that emit light of a particular wavelength in predefined strobing patterns. In some implementations, the active markers are instructed to emit an assigned signature pattern of light through a signal controller sending signals to a control unit. Various components are synchronized such that pulsing of light corresponds to time slices and particular frames captured by the performance capture system. The data representing the pattern is embedded in illuminated and blank frames. Frames showing the light pattern are analyzed to extract information about the active markers, such as identification of the active markers and objects to which they are attached.

A passive incoherent millimeter-wave imaging system includes a receiver array including a plurality of receive modules configured to receive a scene signal reflected from a scene. The scene signal is reflected in response to a plurality of incoherent communication signals being reflected off the scene, and the plurality of incoherent communication signals are spatially and temporally incoherent at a point when reaching the scene.

A passive incoherent millimeter-wave imaging system includes a receiver array including a plurality of receive modules configured to receive a scene signal reflected from a scene. The scene signal is reflected in response to a plurality of incoherent communication signals being reflected off the scene, and the plurality of incoherent communication signals are spatially and temporally incoherent at a point when reaching the scene.

A method of generating landmark locations for an image crop comprises: processing the crop through an encoder-decoder to provide a plurality of N output maps of comparable spatial resolution to the crop, each output map corresponding to a respective landmark of an object appearing in the image crop; processing an output map from the encoder through a plurality of feed forward layers to provide a feature vector comprising N elements, each element including an (x,y) location for a respective landmark. Any landmarks locations from the feature vector having an x or a y location outside a range for a respective row or column of the crop are selected for a final set of landmark locations; with remaining landmark locations tending to be selected from the N (x,y) landmark locations from the plurality of N output maps.

The present disclosure generally relates to a method for COVID-19 detection for spread prevention and medical assistance using machine learning comprises pre-processing a CT image set for removing noise using HU values; performing a region-based segmentation using a three-dimensional convolutional neural network model; classifying each segmented region by employing a classification model; and comparing classified segmented region with a dataset for detecting COVID-19 using a machine learning approach thereby generating an alert about the COVID-19 positive person.

The present description relates to light patterns used in a live action scene of a visual production to encode information associated with objects in the scene, such as movement and position of the objects. A data capture system includes active markers that emit light of a particular wavelength in predefined strobing patterns. In some implementations, the active markers are instructed to emit an assigned signature pattern of light through a signal controller sending signals to a control unit. Various components are synchronized such that pulsing of light corresponds to time slices and particular frames captured by the performance capture system. The data representing the pattern is embedded in illuminated and blank frames. Frames showing the light pattern are analyzed to extract information about the active markers, such as identification of the active markers and objects to which they are attached.

A sensor calibration target includes dark markings on a light substrate. The dark markings absorb more heat from a heat source than the light substrate, and are visually distinguishable from the light substrate. Thus, the dark markings are discernable by the both a camera and an infrared sensor of a vehicle during vehicle sensor calibration. The sensor calibration target may otherwise non-metallic but include a metallic feature for calibrating a radio detection and ranging (RADAR) sensor. The sensor calibration target may also include one or more apertures in the substrate for calibrating a light detection and ranging (LIDAR) sensor.

A system and method detects falling incidents on structures such as cruise vessels, oil rigs, overpasses, and buildings, and also detects overboarding movements onto structures such as cargo ships. The system includes at least two opposed imaging devices which record video streams of a detection cuboid within an overlapping region of view volumes for the imaging devices. The imaging devices monitor objects that pass through the cuboid. Identified objects within the video streams are paired, their conformance is determined, and real-world information such as size, trajectory, and location is determined.