Abstract: A data processing method according to the present invention comprises the step of: loading at least a part of sample data corresponding to a training model into a user interface; matching the sample data with scan data obtained by scanning the training model; and assessing the scan data on the basis of a result of the matching between the scan data and the sample data.

Abstract: The present disclosure provides systems and methods for generating comments corresponding to an input video. Given an input video, comments with content relevant to the input video can be generated. One aspect includes a computing system comprising a processor and memory. The processor can be configured to execute a program using portions of the memory to receive an input video in a social networking system, generate at least one predicted comment corresponding to the input video based on video frames of the input video and a user profile of a target user, and present the at least one predicted comment to the target user.

Abstract: The present disclosure relates to a data processing method for a detector of a medical device, which includes: obtaining a plurality of dark current values of at least one detector channel of a detector within a preset time period, adjusting the plurality of dark current values based on a preset scanning precision to determine a plurality of adjusted dark current values, and determining a dark current compensation value corresponding to the at least one detector channel based on the plurality of adjusted dark current values.

Abstract: An image processing method includes receiving an image, calculating a luminance component of the received image, estimating an illuminance component of the image by using the luminance component, calculating a gamma value, based on the luminance component and the illuminance component, and calculating the luminance component with an improved dynamic range using a conversion ratio based on the gamma value.

Abstract: Described herein are methods and systems for stabilizing a laser on a moving platform with multiple modes of frequency generation using multiple sensors for sensing different frequencies of motion of the laser on the moving platform. The systems and methods use a processor to provide a plurality of feedback loops, comparisons, and/or combinations of data from the multiple sensors to create a set of correction data that is used to direct the laser output via a laser pointing correction system to achieve one or more output effects for tracking a target, guiding a vehicle or a munition and/or illuminating a scene in a particular manner while the platform is moving, including by using a combination of open loop and closed loop processing.

Abstract: An image restoration method, apparatus and device, and a storage medium are provided. The method comprises: evaluating, by an unsharpness evaluation network, an image to be processed, to generate an unsharpness feature map: inputting said image to be processed and the unsharpness feature map into a blur elimination main network; and iteratively processing, by the blur elimination main network, the image to be processed for a set number of times according to the unsharpness feature map to output a restored image. In the above-mentioned technical solution, an unsharpness feature of an image to be processed is extracted by using an unsharpness evaluation network, and iterative processing is performed on said image to be processed by using a blur elimination main network, where the networks are trained networks having corresponding functions, such that automatic restoration of an image can be realized, and image restoration efficiency and quality are improved.

Abstract: A device and a method for correcting an error in position information of an external device recognized by internal circuits in an electronic device are provided. The electronic device includes a housing, a first camera disposed in a first region of an inner space of the housing, a position estimation device disposed in a second region, different from the first region, in the inner space, and a processor operatively connected to the first camera and the position estimation device, wherein the processor can identify a first distance between the first camera and the position estimation device, estimate the position of the external device through the position estimation device, and correct, on the basis of the estimated position of the external device and the first distance, the position of an object related to the external device in image information acquired through the first camera.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain a medical image related to the pancreas. The processing circuitry is configured to extract a pancreas region included in the medical image. The processing circuitry is configured to extract at least one tubular structure region from the inside of the pancreas region. The processing circuitry is configured to identify a first end part and a second end part related to the pancreas on the basis of the pancreas region. The processing circuitry is configured to estimate a primary pancreatic duct centerline of the pancreas on the basis of the tubular structure region, the first end part, and the second end part.