The present invention relates to the field of phenotyping, particularly to systems and methods for collecting, retrieval and processing of data for accurate and sensitive analysis and prediction of a phenotype of an object, particularly of a plant.

An interactive 3D display apparatus and method are provided. The interactive 3D display apparatus includes a hand sensing module configured to acquire a hand image by detecting a hand of a user and a user interaction module configured to generate a virtual object adjustment parameter by analyzing user-intended information about the hand based on the hand image acquired by the hand sensing module and comparing an analysis result with predefined user scenarios, an image rendering module configured to set a scene according to the generated virtual object adjustment parameter, generate image data by rendering the set scene, and convert the generated image data into display data, and a 3D display configured to display a 3D image including a virtual object in which a change intended by the user has been reflected according to the display data.

A calculation device includes: an image input unit that receives, as an input, an image acquired by an image acquisition device that photographs a prescribed area; a visibility evaluation unit that calculates an evaluation value showing the visibility of a detection object in the image, on the basis of the contrast of the image and noise information showing the degree of noise included in the image; a calculation unit that calculates a maximum visually recognizable distance, which is the maximum distance from the image acquisition device to the detection object at which the detection object is visually recognized in the image, based on the evaluation value, a value set as the actual size of the detection object in the image, and the image angle of the image acquisition device; and an output unit that generates and outputs output information based on the maximum visually recognizable distance.

An attention mechanism-based 12-lead electrocardiogram (ECG) classification method is described, the method including acquiring an original image of a 12-lead ECG, segmenting waveform data recorded in the original image to obtain segmented waveform data for each lead in the 12-lead ECG, performing depth feature extraction on the segmented waveform data of said each lead to obtain a first feature map of said each lead, performing feature transformation on the first feature map of said each lead based on an attention mechanism to obtain a depth feature of said each lead, and classifying the depth feature of said each lead to obtain a classification result for the original image. The classification method can make full use of the 12-lead ECG for overall classification and improve the accuracy of image classification.

An imaging apparatus includes: a wiring board; an imaging unit with an imaging element implemented on the wiring board; a frame-like housing that accommodates the imaging unit and that has an opening formed thereon in an optical axis direction of the imaging unit; a top cover located on the housing; a light source that emits light to be sent to outside via the top cover; a light guide body that guides the light emitted from the light source; and a light blocking body that blocks light around the imaging unit, wherein the imaging unit, the light guide body, and the light blocking body are disposed with a gap between the top cover, and the housing includes a top-cover supporting unit, at least a portion of which supports the top cover at a periphery of the opening.

A vehicle driving assist apparatus comprises at least one surrounding sensor and at least one vehicle element. The surrounding sensor memorizes at least one axis difference adjustment value which adjusts at least one axis difference of a detection axis of the surrounding sensor relative to a predetermined base detection axis and provides the vehicle element with information on the axis difference adjustment value memorized in the surrounding sensor as adjustment value information. The vehicle element memorizes the axis difference adjustment value included in the adjustment value information provided from the surrounding sensor and provides the surrounding sensor with information on the axis difference adjustment value memorized in the vehicle element as the adjustment value information. The surrounding sensor memorizes the axis difference adjustment value included in the adjustment value information provided from the vehicle element when the axis difference adjustment value is not memorized in the surrounding sensor.

This application is directed to a method for controlling user experience (UX) operations on an electronic device that executes an application. A touchless UX operation associated with the application has an initiation condition including at least detection of a presence and a gesture in a required proximity range with a required confidence level. The electronic device then determines from a first sensor signal the proximity of the presence with respect to the electronic device. In accordance with a determination that the determined proximity is in the required proximity range, the electronic device determines from a second sensor signal a gesture associated with the proximity of the presence and an associated confidence level of the determination of the gesture. In accordance with a determination that the determined gesture and associated confidence level satisfy the initiation condition, the electronic device initializes the touchless UX operation associated with the application.

Enhanced defect detection of a sample includes acquiring two or more inspection images from a sample from two or more locations of the sample for a first optical mode. The defect detection also generates an aggregated defect profile based on the two or more inspection images from the two or more locations for the first optical mode for a selected defect type and calculating one or more noise correlation characteristics of the two or more inspection images acquired from the two or more locations for the first optical mode. Defect detection further includes the generation of a matched filter for the first optical mode based on the generated aggregated defect profile and the calculated one or more noise correlation characteristics.

An optical flow accelerator (OFA) which provides hardware-based acceleration of optical flow and stereo disparity determination is described. A system is described which includes an OFA configured to determine a first optical flow using a first disparity search technique, and to determine a second optical flow using a second disparity search technique that is different from the first disparity search technique. The system also includes a processor configured to combine the first optical flow and the second optical flow to generate a third optical flow. In some implementations, the first and second disparity search techniques are based upon Semi-Global Matching (SGM). In some implementations, the OFA is further configurable to determine stereo disparity.

A display device having a biometric authentication function is provided. A highly convenient display device is provided. The display device includes a first substrate, a light guide plate, a plurality of first light-emitting elements, a second light-emitting element, and a plurality of light-receiving elements. The light guide plate includes a first portion having a first surface and a second portion having a second surface that connects with the first surface and has a different normal direction from the first surface. The first light-emitting elements and the light-receiving elements are provided between the first substrate and the light guide plate. The first light-emitting elements have a function of emitting first light through the light guide plate, and the second light-emitting element has a function of emitting second light to a side surface of the light guide plate. The light-receiving elements have a function of receiving the second light and converting the second light to an electric signal. The first light includes visible light, and the second light includes infrared light.