Abstract: Certain aspects of an apparatus and method for automatic ER/PR scoring of tissue samples may include for determining a cancer diagnosis score comprising identifying a positive stained nucleus in a slide image of the tissue sample, identifying a negative stained nucleus in the slide image, computing a proportion score based on number of the positive stained nucleus identified and number of the negative stained nucleus identified and determining the cancer diagnosis score based on the proportion.

Abstract: The disclosure provides a method and a system for multi-lens module alignment, adapted to perform alignment on a multi-lens module having at least a first lens and a second lens during its manufacturing stage, where the method includes the following steps. A calibration object is first captured by using the first lens and the second lens to accordingly generate intrinsic parameters and external parameters of the first lens and the second lens, where the external parameters of the first lens and the second lens are associated with a common reference coordinate system. A target object is next captured by using the first lens and the second lens, and captured images of the target object are processed by using the intrinsic parameters and the external parameters to generate rectified images. The first lens and the second lens are adjusted and aligned according to the rectified images.

Abstract: An apparatus for processing a medical image includes an image processor including a plurality of processors, the plurality of processors configured to reconstruct a cross-sectional image of an object by performing a first operation having a first priority and a second operation having a second priority that is lower than the first priority, and a controller configured to monitor whether a malfunction occurs among the plurality of processors, and configured to assign, to at least one of the plurality of processors, at least one of the first operation and the second operation to be performed, based on a result of monitoring of the plurality of processors.

Abstract: The present invention discloses a method and system for recognizing a user activity type, where the method includes: collecting an image of a location in which a user is located; extracting, from the image, characteristic data of an environment in which the user is located and characteristic data of the user; and obtaining, by recognition, an activity type of the user by using an image recognition model related to an activity type or an image library related to an activity type and the characteristic data.

Abstract: A fingerprint sensor includes a substrate, a sensing electrode over the substrate, a first electrode and a second electrode. The sensing electrode is configured to detect a capacitance in response to a touch event on the fingerprint sensor. The first electrode is disposed between the substrate and the sensing electrode, while the second electrode is disposed between the first electrode and the sensing electrode. The first electrode and the second electrode are configured to define a capacitance therebetween. The sensitivity of the fingerprint sensor is inversely proportional to the capacitance between the first electrode and the second electrode.

Abstract: A group-verification fingerprint identifying method includes: simultaneously receiving fingerprint input operations from multiple users via a multi-finger fingerprint sensor of a fingerprint identifying apparatus for multiple fingers; generating a fingerprint combination corresponding to the fingerprint input operations; retrieving a registered fingerprints combination; generating a comparison result via comparing the fingerprints combination with the registered fingerprint combination. A more complicated verification mechanism can be provided to enhance security of identification via using group-verification and fingerprint identification.

Abstract: Embodiments of the present disclosure disclose a picture ranking method and a terminal. The picture ranking method comprises acquiring pictures stored in a terminal, detecting whether the pictures are first-type pictures, where the first-type picture refers to a picture including a human face, and when the pictures are first-type pictures, ranking the pictures according to a social relation model, or when the pictures are not first-type pictures, ranking the pictures according to a preset rule.

Abstract: An imaging processing system includes one or more image capturing apparatuses, a reading unit configured to read biometric information from an authentication object person, a similarity calculation unit configured to calculate similarity based on a result of comparing biometric information read by the reading unit with true biometric information of the authentication object person, an authentication unit configured to perform authentication based on a comparison between the similarity calculated by the similarity calculation unit and a preliminarily set threshold, and a control unit configured to control, if the authentication performed by the authentication unit is successful, imaging processing, which is performed by the image capturing apparatus, based on the similarity calculated by the similarity calculation unit.

Abstract: A facial image screening method is provided in the present disclosure. The facial image screening method includes the following steps: tracking a plurality of feature points of at least one facial image; analyzing each feature point to acquire a region information corresponding to each feature point, wherein the region information comprises an image quality information, a face pose information, and a blocking degree information; scoring the image quality information to obtain a first arbitration score; scoring the face pose information to obtain a second arbitration score; scoring the blocking degree information to obtain a third arbitration score; generating a comprehensive quality score according to the first arbitration score, the second arbitration score, and the third arbitration; and taking the plurality of feature points of the facial image as targets to be compared with captured features of a plurality of specific persons when the comprehensive quality score exceeds a threshold value.

Abstract: A multi-type BGA chip visual recognition method using line based clustering to solve the problems of BGA inspection algorithms which have limited applicability, low flexibility caused by template matching, poor robustness to illumination and interferences and high time complexity.

Abstract: An image encoded with character information can be created by binarizing an input image followed by connected component labeling, and then repeating the binarization and connected component labeling on an inverted version of the input image. This results in identification of connected components. Related connected components are arranged in a family tree in which successive generations of the connected components alternate between two tree layer classifications. One of the tree layer classifications is selected based on whether certain connected components define characters. A label image is created which includes labels for the connected components except for the connected components in the selected tree layer classification.

Abstract: Embodiments digitize radiology films into DICOM format. Radiology films typically include an array of captured images laid out in a grid pattern. To comply with DICOM format, the scanned image of a radiology film is segmented into sub-images and text is extracted from the sub-images to generate DICOM metadata. The sub-images and extracted text metadata are then combined to generate a DICOM-compliant multi-image file.

Abstract: There is disclosed an embodiment for performing a calibration of a sensor by using an image registration between a three-dimensional ultrasound image and computerized tomography (CT) image. An ultrasound image forming unit includes an ultrasound probe and forms a three-dimensional ultrasound image of a target object. A sensor is coupled to the ultrasound probe. A memory stores a three-dimensional computed tomography (CT) image of the target object and position information on a position between the three-dimensional ultrasound image and the sensor. A processor performs image registration between the three-dimensional CT image and the three-dimensional ultrasound image to form a first transformation function for transforming a position of the sensor to a corresponding position on the three-dimensional CT image and performs calibration of the sensor by applying the position information to the first transformation function.

Abstract: The present disclosure relates to an album display method, an album display apparatus and a storage medium, which pertain to the graphics and image technical field. The method includes: uploading a plurality of photographs stored in the smart device to a server, receiving face identification information for at least two of the plurality of photographs from the server, wherein the at least two photographs are identified to include faces by the server using a face recognition algorithm, the face identification information includes a photograph identifier and an album identifier for one of a plurality of face albums, and the plurality of face albums are generated by grouping the at least two photographs based on faces identified in the at least two photographs, adding the at least two photographs to their corresponding face albums based on the face identification information, and displaying the plurality of face albums.

Abstract: A method, system and non-transitory computer readable medium are disclosed for recognizing gestures, the method includes capturing at least one three-dimensional (3D) video stream of data on a subject; extracting a time-series of skeletal data from the at least one 3D video stream of data; isolating a plurality of points of abrupt content change called temporal cuts, the plurality of temporal cuts defining a set of non-overlapping adjacent segments partitioning the time-series of skeletal data; identifying among the plurality of temporal cuts, temporal cuts of the time-series of skeletal data having a positive acceleration; and classifying each of the one or more pair of consecutive cuts with the positive acceleration as a gesture boundary.

Abstract: Systems, methods, and non-transitory computer-readable media can calculate raw scores for a plurality of media items based on a classifier model and a target concept. The plurality of media items are ranked based on the raw scores. A review set of the plurality of media items is determined, the review set comprising a subset of the plurality of media items. Each of the media items of the review set is associated with a content depiction determination. A normalized score formula is calculated based on the raw scores and the content depiction determinations for the media items of the review set.

Abstract: A computer-implemented method comprises: extracting a setting from a description file of a virtual pan-tilt-zoom (PTZ) camera used to capture an original image through a wide-angle lens; determining a first set of coordinates of a pixel of the original image for each cell of a sparse conversion map represented as a first look-up table, wherein the sparse conversion map corresponds to a sparse grid of pixels of an output image; determining, via interpolating the first set of coordinates, a second set of coordinates of a pixel of the original image for each cell of a full conversion map, wherein the second set of coordinates is represented as a second look-up table, wherein the full conversion map corresponds to a full grid of pixels of the output image; instructing a display to present the output image, wherein the original image is less rectilinear than the output image.

Abstract: A method, apparatus, article of manufacture, and a memory structure for inserting a watermark in a media program is described. In an exemplary embodiment, the method comprises the steps of receiving data comprising the media program in the receiver disposed at a subscriber station, generating a watermark, the watermark generated at least in part according to a secure data processor-unique identifier irreversibly stored in the secure data processor, processing the received data to reproduce the media program, and inserting portions of the generated watermark in the reproduced media program at locations determined at least in part according to the secure data processor-unique identifier to produce a watermarked media program provided for display.

Abstract: A processor computes a measure of input image structural complexity of an input image, and searches a database of true positives to find one or more entries in the database that represent true positive images that are structurally similar to the input image. The processor compares a measure of signal quality of the input image and a measure of signal quality of one of the true positive images, as retrieved from the database, and based on the comparison updates a control variable that configures a signal quality conditioning process that is to be performed on the input image prior to processing of the input image by a computer vision processor thus improving performance of the computer vision task. Other embodiments are also described and claimed.

Abstract: A liveness detection apparatus and a liveness detection method are provided. The liveness detection apparatus may comprise: a specific exhibiting device, for exhibiting a specific identification content; an image acquiring device, for acquiring image data of a target object to be recognized during the exhibition of the identification content; a processor, for determining whether there is a reflective region corresponding to the identification content in the acquired image data, determining a regional feature of the reflective region when there is the reflective region, to obtain a determination result, and recognizing whether the target object is a living body based on the determination result.