Abstract: This disclosure discloses a production method of a thin-film transistor, a thin-film transistor, a display apparatus, and a fingerprint recognition unit. Said method comprises the steps of: sequentially depositing a metal layer and an indium zinc oxide layer as a protective layer on a substrate; etching the metal layer and the indium zinc oxide layer to form a first electrode and a second electrode of a photosensitive device; and forming a photoelectric semiconductor of the photosensitive device on the first electrode.

Abstract: A method of determining a facial pose angle of a human face within an image is provided. After capturing a first image of the human face, respective coordinates of a predefined set of facial feature points of the human face in the first image are obtained. The predefined set of facial feature points includes an odd number of facial feature points, e.g., at least a first pair of symmetrical facial feature points, a second pair of symmetrical facial feature points, and a first single facial feature point. The predefined set of facial feature points are not coplanar. Next, one or more predefined key values based on the respective coordinates of the predefined set of facial feature points of the human face in the first image are calculated. Finally, a pre-established correspondence table is queried using the one or more predefined key values to determine the facial pose angle of the human face in the first image.

Abstract: A fingerprint recognition method adapted to an electronic device is provided. The electronic device includes a processing unit and a fingerprint sensor. The fingerprint recognition method includes steps of: obtaining a plurality of swiping frames; extracting a plurality of feature points respectively from the plurality of swiping frames to generate a plurality of pre-registered fingerprint datasets accordingly; merging the plurality of pre-registered fingerprint datasets; generating a registration template according to the merged pre-registered fingerprint datasets; obtaining a pressing frame; extracting a plurality of feature points from the pressing frame to generate a verifying fingerprint dataset; and comparing the verifying fingerprint dataset with the registration template, so as to determine whether the verifying fingerprint dataset matches the registration template. The above electronic device is also provided.

Abstract: A system, method and computer-readable medium are provided to enable digital bank endorsement. A digital image of a back side of a check may be placed in a computer memory. Appropriate coordinates for a bank endorsement may be determined. A bank endorsement may be automatically generated. The digital image may then be electronically altered by overlaying, merging, or rendering text of the generated bank endorsement. A modified digital image may be combined with an image of the front side of the check and stored and/or exported to check clearing operations.

Abstract: A medical image processing device is disclosed. The disclosed medical image processing device may include: an input interface through which a depth adjusting command is input from a user; an image processor and controller generating a two-dimensional reconstruction image by overlapping a part or all of CT image data in a view direction, and changing a contrast of at least a part of the two-dimensional reconstruction image according to the depth adjusting command; and a display part displaying the two-dimensional reconstruction image.

Abstract: Methods and systems for incorporating physical documents into a document review workflow involving electronic documents. One or more embodiments detect a presence of a physical document within a field of view of an AR device and map the physical document to an existing electronic document based on visual features of the physical document. Additionally, one or more embodiments determine at least one difference between the physical document and the electronic document and create, for the physical document and the electronic document a shared state mapping including the difference(s). One or more embodiments then apply the difference to the physical document or the electronic document by displaying the difference(s) in an AR layer within the field of view of the AR device or storing the difference(s) in the electronic document.

Abstract: A method includes extracting a plurality of feature points from a first image and a second image of an image-capture target, acquiring, from the second image, for each of the plurality of feature points in the first image, a set of points having a correlation with the feature point, identifying, for each of the plurality of feature points in the second image, a position of a center of gravity of the set of points, and determining an amount of movement of the image-capture target by performing weighting processing, the weighting processing being performed on each of amounts of displacements and a number of points in the set of points acquired for each of the plurality of feature points, each of the amounts of displacements being a displacement from a position of each of the plurality of feature points in the first image to the position of the center of gravity.

Abstract: A method for operating a robotic system includes obtaining and processing first data representative of an object at a start location; obtaining additional data as the object is transferred to a task location, wherein the additional data includes information regarding one or more edges and/or one or more surfaces separate from portions of the object captured in the first data; and creating registration data representative of the object based on the additional data.

Abstract: A system includes a sensor, a weight sensor, and a tracking subsystem. The tracking subsystem receives an image feed of top-view images generated by the sensor and weight measurements from the weight sensor. The tracking subsystem detects an event associated with an item being removed from a rack in which the weight sensor is installed. The tracking subsystem determines that a first person or a second person may be associated with the event. In response to determining that the first or second person may be associated with the event, buffer frames are stored of top-view images generated by the sensor during a time period associated with the event. The tracking subsystem then determines, using at least one of the stored buffer frames and a first action-detection algorithm, whether an action associated with the event was performed by the first person or the second person.

Abstract: A sensor has drive lines and transverse pickup lines to define an electrode pair where each pickup line crosses a drive line. A reference pickup line is arranged parallel to the pickup lines and a compensation drive line is arranged parallel to the drive lines. A signal source provides a first signal to the drive lines and a second signal that is the inverse of the first signal to the compensation drive line. An amplifier has a first input connected to a pickup line, a second input connected to a reference pickup line, and a output indicative of an object in contact with the electrode pair(s). Each impedance between the compensation drive line and a pickup line, between the reference pickup line and a reference drive line, and between the compensation drive line and the reference pickup line is equal to the impedance at the electrode pair when no object is contact with the electrode pair.

Abstract: An electronic apparatus includes an authenticator configured to identify registered finger information that coincides with detected finger information by matching the detected finger information with the plurality of registered finger information in a predetermined order, an executor configured to execute a function corresponding to the registered finger information identified by the authenticator, a user identifier configured to identify the actual user among the plurality of registered users by acquiring user identification information representing the actual user or by performing a determination process configured to determine the actual user, and a controller configured to change the predetermined order according to the actual user identified by the user identifier.

Abstract: Examples herein provide a method. The method includes printing first color patches at a first location on a first side of a print medium. The method includes generating an international color consortium (“ICC”) profile of the first side by characterizing the first color patches using a spectrophotometer. The method includes printing, using the ICC profile of the first side, second color patches at a second location on the first side of the print medium. The method includes printing third color patches on a second side of the print medium, the third patches being a registered mirrored copy of the second patches. The method includes generating an ICC profile of the second side by characterizing the registered second and third patches using the spectrophotometer.

Abstract: An array substrate, a display panel and a display device are provided. The array substrate includes a substrate; a plurality of light-emitting units, which are in the display area of the substrate and include emission colors: a first color, a second color and a third color, where a light transmittance of the first color and a light transmittance of the second color are both greater than a light transmittance of the third color; and a plurality of first fingerprint recognition units and a plurality of second fingerprint recognition units, which are in the display area of the substrate. Each light-emitting unit serves as a light source of each fingerprint recognition unit, and each first fingerprint recognition unit and each second fingerprint recognition unit have different configuration parameters so as to detect a same electric signal value with respect to a reflector.

Abstract: An exemplary system, method and computer accessible medium for generating an image(s) of a portion(s) of a patient can be provided, which can include, for example, receiving first imaging information related to the portion(s), receiving second information related to modelling information of a further portion(s) of a further patient(s), where the modelling information includes (i) an under sampling procedure, and/or (ii) a learning-based procedure, and generating the image(s) using the first information and the second information. The modelling information can include artifacts present in a further image of the further portion(s). The image(s) can be generated by reducing or minimizing the artifacts. The second information can be generated, for example using a variational network(s).

Abstract: Assessing color digitally can include imaging digitally a custom color calibration chart under a set of lighting conditions; imaging digitally a workpiece under approximately identical lighting conditions; and comparing color measurement data from the custom color calibration chart to color measurement data from the workpiece to characterize the workpiece.

Abstract: The invention relates to the field of intelligent electronics, and more particularly, to a rapid recognition method and a household intelligent robot. The method, applicable to the household intelligent robot, comprises the steps of: pre-setting a plurality of personal files corresponding to different users; collecting identification information associated with features of the user, and establishing an association between the identification information and the personal file corresponding to the user; the household intelligent robot collecting the features of the user and matching the user features with stored identification information, so as to identify the user; if the user is successfully identified, executing a retrieving step, otherwise, exiting; and the retrieving step comprising retrieving the corresponding personal file according to the identified user, and working according to the personal file.

Abstract: A method of providing a sharpness measure for an image comprises detecting an object region within an image; obtaining meta-data for the image; and scaling the chosen object region to a fixed size. A gradient map is calculated for the scaled object region and compared against a threshold determined for the image to provide a filtered gradient map of values exceeding the threshold. The threshold for the image is a function of at least: a contrast level for the detected object region, a distance to the subject and an ISO/gain used for image acquisition. A sharpness measure for the object region is determined as a function of the filtered gradient map values, the sharpness measure being proportional to the filtered gradient map values.

Abstract: An example method for estimating an emotion based upon a facial expression of a user can include: receiving one or more captured facial expressions from the user at a visual computing device; comparing the one or more captured facial expressions to one or more known facial expressions; and assigning an emotion to the plurality of captured facial expressions based upon the comparing.

Abstract: Provided is a method and system for determining a complex situation according to the time flow of events occurring in each device. In a method for determining a complex situation according to an embodiment of the present invention, a current situation is determined by detecting events occurring in devices and referring to a complex situation determination rule. The complex situation determination rule is a rule in which the current situation is mapped according to the events, which have occurred in the devices, and time intervals between the events. The present invention enables a more reliable determination of the current situation by complexly considering not only the events occurring in the devices but also time intervals between the events.

Abstract: Methods and systems are provided for generating mattes for input images. A neural network system can be trained where the training includes training a first neural network that generates mattes for input images where the input images are synthetic composite images. Such a neural network system can further be trained where the training includes training a second neural network that generates refined mattes from the mattes produced by the first neural network. Such a trained neural network system can be used to input an image and trimap pair for which the trained system will output a matte. Such a matte can be used to extract an object from the input image. Upon extracting the object, a user can manipulate the object, for example, to composite the object onto a new background.