An image processing method and apparatus for a smart pen, and an electronic device are provided in embodiments of the present disclosure, and belong to the technical field of data processing. The method comprises: monitoring a working state of a second pressure switch provided at a pen tip of a smart pen after a first pressure switch of the smart pen is in a closed state; controlling an image collection module on the smart pen to collect a reflected infrared signal from an area where the smart pen writes; performing feature extraction processing on an original image to obtain a feature matrix corresponding to the original image; determining, based on current load status of the smart pen, the number of convolutional layers used for convolution processing in parallel convolutional layers; and adding current time information to a trajectory classification result to form a time-ordered trajectory vector.

Techniques are described herein that overcome the limitations of conventional techniques by bridging a gap between user interaction with digital content using a computing device and a user's physical environment through use of augmented reality content. In one example, user interaction with augmented reality digital content as part of a live stream of digital images of a user's environment is used to specify a size of an area that is used to filter search results to find a “best fit”. In another example, a geometric shape is used to represent a size and shape of an object included in a digital image (e.g., a two-dimensional digital image). The geometric shape is displayed as augmented reality digital content as part of a live stream of digital images to “assess fit” of the object in the user's physical environment.

Systems and methods for enrolling and authenticating a user in an authentication system via a user's camera of camera equipped mobile device include capturing and storing enrollment biometric information from at least one first image of the user taken via the camera of the mobile device, capturing authentication biometric information from at least one second image of the user, capturing, during imaging of the at least one second image, path parameters via at least one movement detecting sensor indicating an authentication movement of the mobile device, comparing the authentication biometric information to the stored enrollment biometric information, and comparing the authentication movement of the mobile device to an expected movement of the mobile device to determine whether the authentication movement sufficiently corresponds to the expected movement.

An imaging apparatus and an imaging method that further facilitate recording of a video within an extraction range while moving the extraction range within an angle of view are provided. An imaging apparatus according to an aspect of the present invention includes an image sensor that captures a reference video which is a motion picture, a housing that accommodates the image sensor, a detection portion for detecting a motion of the housing, and a processor. The processor is configured to execute setting processing of setting an extraction range smaller than an angle of view within the angle of view in a case of capturing the reference video, extraction processing of extracting an extraction video within the extraction range from the reference video, movement processing of moving the extraction range within the angle of view over time in accordance with the motion detected by the detection portion, and recording processing of recording the extraction video during movement of the extraction range in the movement processing on a recording medium.

A system and method allows a light colored image of an object such as a check to be detected and captured on a light colored background for uploading to a server for processing. Detection involves detecting edges of objects on the image, drawing a rectangle around the detected edges, testing for an aspect ratio of the rectangle within an approved range, testing for the rectangle being outside of a margin of the image and being a certain percentage of the image, and testing for blur within a tolerable range.

A display device includes a thin-film transistor layer disposed on a substrate and including thin-film transistors; and an emission material layer disposed on the thin-film transistor layer. The emission material layer includes light-emitting elements each including a first light-emitting electrode, an emissive layer and a second light-emitting electrode, light-receiving elements each including a first light-receiving electrode, a light-receiving semiconductor layer and a second light-receiving electrode, and a first bank disposed on the first light-emitting electrode and defining an emission area of each of the light-emitting elements. The light-receiving elements are disposed on the first bank.

A method and a system for determining an indicator of processing quality of an agricultural harvested material using a mobile device is disclosed. A computing unit analyzes image data of a prepared sample of harvested material containing grain components and non-grain components in an analytical routine to determine the indicator of the processing quality of the agricultural harvested material. Further, the computing unit uses a trained machine learning model in the analytical routine to perform at least one step of determining the indicator of the processing quality of the agricultural harvested material.

A remote control device for controlling devices in an environment can utilize an environment map and location information to accurately determine an intended device to provide control for multiple devices in an environment. The environment mapping can be performed using the remote control device including a plurality of sensors. A spatial map can be generated for an environment along with location information for controllable devices within the environment. The spatial map and location information can be stored on the remote control device. The mapping can allow the remote control device to quickly group devices or drag and drop content from one type of device to another type of device. The remote control device can perform search queries based on combinations of image and audio data in some examples.

Technical solutions are described to track a handheld three-dimensional (3D) scanner in an environment using natural features in the environment. In one or more examples, the natural features are detected using machine learning. Features are filtered by performing a stereo matching between respective pairs of stereo images captured by the scanner. The features are further filtered using time matching between images captured by the scanner at different timepoints.

A face verification method and apparatus is disclosed. The face verification method includes selecting a current verification mode, from among plural verification modes, to be implemented for the verifying of the face, determining one or more recognizers, from among plural recognizers, based on the selected current verification mode, extracting feature information from information of the face using at least one of the determined one or more recognizers, and indicating whether a verification is successful based on the extracted feature information.