Abstract: Methods for creating personalized items using images associated with a subject are provided. The method includes receiving and processing at least one image of a subject; translating the processed at least one image into a personalized illustration having features that substantially resemble features of the subject, wherein translating the processed at least one image comprises extracting a plurality of core shapes from a face of the subject in the at least one image and assembling the extracted plurality of core shapes into a face of the personalized illustration; and manipulating the personalized illustration of the subject for placement in a personalized item such that the manipulated personalized illustration appears as an integral part of an existing template of the personalized item.

Abstract: Provided is a method for acquiring images. The method includes: acquiring a first image embodying a display panel; determining repair indication information of a plurality of defects in the display panel in the first image, wherein the repair indication information indicates a degree of a repair demand for the defects; selecting a target defect from the plurality of defects based on the repair indication information of the plurality of defects; and acquiring a repair reference image embodying the target defect by photographing the target defect in the display panel.

Abstract: A device for locating a coupling means arranged on a trailer vehicle before the coupling operation is described, having a coupling on the towing vehicle side that is designed with an insertion opening which is open in the rearward direction (R) and is intended for the entry of the coupling means, a light transmitter fitted to the coupling on the towing vehicle side, and a light receiver which captures light from the light transmitter that is reflected by the coupling means. The problem of providing a device which can be used to make it possible for the coupling on the towing vehicle side to more precisely approach the coupling means of the trailer vehicle is solved by virtue of the fact that the light transmitter is a stroboscopic light.

Abstract: In order to enhance enhanced X-ray image inhalation quality monitoring, a metric is proposed hat reproducibly provides an index of ribs visible to be used in the assessment of the inhalation state. In an example, a detected diaphragm in a chest X-ray image may be projected into an atlas that contains labels for all intercostal spaces, namely spaces between rib centerlines. A spatial representation of both the clavicle and the ribs is provided in the atlas, a cumulative histogram is built for all points, i.e. pixels, of the diaphragm, for every point a rib label counter of the rib in the rib label map at that point is incremented as well as all ribs above it, the rib label counter is normalized by a division by the number of points, the median (or a different quantile) may be taken of this distribution serving as an inhalation index. An objective metric of inhalation state is thus achieved.

Abstract: An image processing apparatus performs first noise reduction processing on a plurality of radiation images corresponding to mutually-different radiation energies, generates a decomposition image by energy subtraction processing using the plurality of radiation images obtained by performing the first noise reduction processing, and performs second noise reduction processing on the decomposition image, wherein the second noise reduction processing uses a filter that differs from a filter used in the first noise reduction processing in at least one of size and type.

Abstract: A sensing data processing device is provided. The sensing data processing device may track keypoints within a full observable range of the sensing data processing device based on sensing data collected from a previous frame and a sensing data collected from a current frame through a reference sensor, the full observable range determined based on a combined field of view (FOV) of sensors, manage a new keypoint together with the keypoints in response to the new keypoint being detected, and perform localization of the device based on the managed keypoints.

Abstract: The present disclosure describes techniques for annotating a video. The techniques comprises receiving an operation of creating a bullet screen of annotating a target object in a first frame; determining a display position of the bullet screen in the first frame; displaying the bullet screen at the display position in the first frame; determining an offset of the display position of the bullet screen relative to a position of the target object in the first frame; and displaying the bullet screen at a target display position in a second frame of the video, wherein the target display position in the second frame is determined based at least in part on the offset of the display position of the bullet screen relative to the position of the target object in the first frame, the second frame is played subsequent to the first frame, and the second frame comprises the target object.

Abstract: A method for detecting from images correct placement and function, or incorrect placement and function, of a clip of a transportation box of wafers in sterile or similar conditions obtains an image template comprising features of clip and obtains a first detection image of a working clip. An object region focusing on the imaged clip in the first detection image is determined according to the image template. Part of the working image is selected as a first preset location. The part of the image is masked to obtain a second detection image, the masking obscures the background region of the part of the image but not the clip-object region, and displays the unobscured clip-object region. The second detection image is input into a trained neural network model to determine whether the clip is in sealed or unsealed state. An electronic device and a non-transitory storage medium are also disclosed.

Abstract: In some embodiments, a computer-implemented method includes obtaining a without-eyeglasses face scan of a subject, the without-eyeglasses face scan being a three-dimensional (3D) model of a face of the subject without eyeglasses; obtaining a with-eyeglasses face scan of the subject, the with-eyeglasses face scan being a 3D model of the subject with eyeglasses; and using the without-eyeglasses face scan and the with-eyeglasses face scan to place a 3D eyeglasses model on a face model of the subject. In some embodiments of the computer-implemented method, the 3D eyeglasses model is placed on the face model of the subject using frame placement information generated using the without-eyeglasses face scan and the with-eyeglasses face scan.

Abstract: A processor-implemented method with object pose estimation includes: determining an image feature corresponding to a point cloud of an input image; determining semantic segmentation information, instance mask information, and keypoint information of an object, based on the image feature; and estimating a pose of the object based on the semantic segmentation information, the instance mask information, and the keypoint information.

Abstract: Systems and method for an object from a plurality of objects are disclosed. An image of a scene containing the plurality of objects is obtained, and a segmentation map is generated for the objects in the scene. The shapes of the objects are determined based on the segmentation map. An end effector is adjusted in response to determining the shapes of the objects. The adjusting the end effector includes shaping the end effector according to at least one of the shapes of the objects. The plurality of objects is approached in response to the shaping of the end effector, and one of the plurality of objects is picked with the end effector.

Abstract: Example aspects include techniques for implementing a high-frequency attention network for single image super-resolution. These techniques may include extracting a plurality of features from an original image input into a CNN to generate a feature map, and restoring one or more high-frequency details of the original image via an efficient residual block (ERB) and a high-frequency attention block (HFAB) configured to assign a scaling factor to one or more high-frequency areas. In addition, the techniques may include generating reconstruction input information by performing an element-wise operation on the one or more high-frequency details and cross-connection information from the feature map and performing, by the CNN, an enhancement operation on the reconstruction input information to generate an enhanced image.

Abstract: An assistance method of safe driving applied in a vehicle-mounted electronic device obtains RGB images of scene in front of a vehicle, processes the RGB images by a trained depth estimation model, obtains depth images and converts the depth images into three-dimensional (3D) point cloud maps, determines 3D regions of interest therein, and obtains position and size information of objects in the 3D regions of interest. When the position information satisfies a first preset condition and/or the size information satisfies a second preset condition, the presence of obstacles in the 3D regions of interest is determined and controls the vehicle to issue an alarm. When the position information does not satisfy the first preset condition and/or the size information does not satisfy the second preset condition, the 3D regions of interest are determined as obstacle-free, and permitting the vehicle to continue driving.

Abstract: Systems, computer-implemented methods, and non-transitory machine-readable storage media are provided for detecting recapture attacks of images. One method comprises extracting one or more features from an image captured by a device; applying the one or more features as input to a trained machine learning model, wherein the trained machine learning model outputs a first score based on the extracted features; obtaining metadata of the image; performing a statistical analysis of the metadata of the image; generating a second score based on the statistical analysis of the metadata of the image; and generating a probability that the image is a recapture of an original image based on the first score and the second score.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media that implement an inpainting framework having computer-implemented machine learning models to generate high-resolution inpainting results. For instance, in one or more embodiments, the disclosed systems generate an inpainted digital image utilizing a deep inpainting neural network from a digital image having a replacement region. The disclosed systems further generate, utilizing a visual guide algorithm, at least one deep visual guide from the inpainted digital image. Using a patch match model and the at least one deep visual guide, the disclosed systems generate a plurality of modified digital images from the digital image by replacing the region of pixels of the digital image with replacement pixels. Additionally, the disclosed systems select, utilizing an inpainting curation model, a modified digital image from the plurality of modified digital images to provide to a client device.

Abstract: In a computer-implemented method of augmenting a dataset used in facial expression analysis, a first facial image and a second facial image are added to a training/testing dataset and mapped to two respective points in a continuous dimensional emotion space. The position of a third point in the continuous dimensional emotion space between the first two points is determined. Augmentation is achieved when a labelled facial image is derived from the third point based on its position relative to the first and second facial expression.

Abstract: A machine may be configured to perform image evaluation of images depicting items for sale and to provide recommendations for improving the images depicting the items to increase the sales of the items depicted in the images. For example, the machine accesses a result of a user behavior analysis. The machine receives an image of an item from a user device. The machine performs an image evaluation of the received image based on an analysis of the received image and the result of the user behavior analysis. The performing of the image evaluation may include determining a likelihood of a user engaging in a desired user behavior in relation to the received image. Then, the machine generates, based on the evaluation of the received image, an output that references the received image and indicates the likelihood of a user engaging in the desired behavior.

Abstract: A method for generating a plurality of sets of training image data for training a machine learning model includes: (a) acquiring object image data representing an object image; (b) dividing the object image into T number of partial object images by dividing a region of the object image into T number of partial regions corresponding to respective ones of T number of partial color ranges; (c) generating a plurality of sets of color-modified object image data representing respective ones of a plurality of color-modified object images by performing an adjustment process on the object image data, the adjustment process including a color modification process to modify colors of at least one of the T number of partial object images; and (d) generating the plurality of sets of training image data using one or more sets of background image data and the plurality of sets of color-modified object image data.

Abstract: An imaging processing method that acquires first and second overlapping image data sets by performing first and second measurements on an overlapping location at first and second times, wherein the first and second times are different times; determines whether the first and second overlapping image data sets have substantially a same image quality; and generating and outputting, a first weighted overlapping combined image by combining (a) first weighted image data generated by applying a first weight to an overlapping frequency range of the overlapping image data set having a higher image quality and (b) second weighted image data generated by applying a second weight to the overlapping frequency range of the overlapping image data set having a lower image quality, wherein the first weight is larger than the second weight.

Abstract: An information processing device (10) acquires a plurality of ledger sheets having the same layout, compares the contents of each column at the same position each of the acquired plurality ledger sheets having the same layout, discriminates the type of each column according to the comparison result, and stores the information on the type of each column in a storage unit (14). Moreover, the information processing device (10) acquires position information of a processing target ledger sheet, compares information on the type of a column and the content of each column using information on a registered style with respect to the acquired ledger sheet, discriminates the type of each column of the processing target ledger sheet according to the comparison result, and specifies style candidates of the processing target ledger sheet on the basis of the discrimination result.