Abstract: There is provided a medical image processing apparatus which includes a first extraction unit configured to extract coronary arteries depicted in images of a plurality of time phases relating to the heart, and to extract at least one stenosed part depicted in each coronary artery; a calculation unit configured to calculate a pressure gradient of each of the extracted coronary arteries, based on tissue blood flow volumes of the coronary arteries; a second extraction unit configured to extract an ischemic region depicted in the images; and a specifying unit configured to specify a responsible blood vessel of the ischemic region by referring to a dominance map, in which each of the extracted coronary arteries and a dominance territory are associated, for the extracted ischemic region, and to specify a responsible stenosis, based on the pressure gradient corresponding to a stenosed part in the specified responsible blood vessel.

Abstract: A microscope for adaptive sensing may comprise an illumination assembly, an image capture device configured to collect light from a sample illuminated by the assembly, and a processor. The processor may be configured to execute instructions which cause the microscope to capture, using the image capture device, an initial image set of the sample, identify, in response to the initial image set, an attribute of the sample, determine, in response to identifying the attribute, a three-dimensional (3D) process for sensing the sample, and generate, using the determined 3D process, an output image set comprising more than one focal plane. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Some embodiments include a robot, including: a plurality of sensors; at least one encoder; a processor; a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuates operations including: measuring, with the at least one encoder, wheel rotation of at least one wheel; capturing, with an image sensor, images of an environment as the robot moves within the environment; identifying, with the processor, at least one characteristic of at least one object captured in the images of the environment; determining, with the processor, an object type of the at least one object based on characteristics of different types of objects stored in an object database; and instructing, with the processor, the robot to execute at least one action based on at least one of: the object type of the at least one object and the measured wheel rotation of the at least one wheel.

Abstract: The present application relates to a method for acquiring maximum principal strain or a maximum principal stress status of a vessel wall.

Abstract: A method with algorithm updating includes: receiving a first input batch including one or more first images; generating a first output batch with respect to the first input batch using an algorithm configured to generate a disparity image, the first output batch including one or more first output images; receiving a second input batch corresponding to the first input batch, the second input batch including one or more second images having viewpoints that are different from viewpoints of the one or more first images; generating a test batch based on the first output batch and the second input batch, the test batch including one or more test images; and updating the algorithm based on a difference between the first input batch and the test batch.

Abstract: A monitor method for detecting an object includes capturing an image; calculating an initial probability of the object existing in the image; applying a mask to cover a first portion of the image if the initial probability is higher than a threshold; calculating a first probability of the object existing in the image excluding the first portion; and using at least the first probability to detect the location the object in the image.

Abstract: A document is received by a first computer system from a second computer system. The document is received through a network. A document level security code is received by the first computer system through a second network. A content level security code is received by the first computer system and through the second network. A first validation operation is performed by the first computer system. The performance is based on the document level security code. The first computer system determines the document is an altered document. The determination is based on the performance of the first validation operation. A second validation operation is executed on the altered document. The second validation operation is executed by the first computer system and in response to the determination. An alteration status of the document is detected by the first computer and based on the second validation operation.

Abstract: An image processing method and apparatus, and a storage medium are provided. The method includes: detecting a target object in a current video frame of a target video stream, to obtain a current detection region for the target object; adjusting the current detection region according to a historic detection region corresponding to the target object in a historic video frame of the target video stream, to obtain a determined current detection region; performing key point positioning on the target object based on the determined current detection region, to obtain a first set of key points; and performing stabilization on locations of the key points in the first set according to locations of key points in a second set corresponding to the target object in the historic video frame, to obtain current locations of a set of key points of the target object in the current video frame.

Abstract: One or more computing devices, systems, and/or methods are provided. One or more videos associated with a user may be analyzed to determine a first set of features of the user associated with a first emotion of the user and/or a second set of features of the user associated with a second emotion of the user. A first user emotion profile associated with the user may be generated based upon the first set of features and/or the second set of features. A second video may be presented via a graphical user interface of a first client device. The user may be identified within the second video. It may be determined, based upon the second video and/or the first user emotion profile, that the user is associated with the first emotion. A representation of the first emotion may be displayed via the graphical user interface of the first client device.

Abstract: A method of authentication using surface paper texture includes steps of capturing a topographic pattern image of a surface of a region of interest of the paper artifact and extracting a plurality of specific features from the captured topographic pattern image. The method further identifies the location of the specific features of the paper artifact from the captured topographic pattern image. A bit map of the identified location of the specific features is generated. Then, a reference image of a reference bit map printed on the region of interest of the paper artifact is captured. Finally, the method compares the generated bit map with the captured reference bit map to generate a score. The score of the comparison determines the level of authentication. The method provides an offline method of authentication.

Abstract: A guidance processing apparatus (100) includes an information acquisition unit (101) that acquires a plurality of different pieces of guidance information on the basis of states of a plurality of people within one or more images, and a control unit (102) that performs control of a plurality of target devices present in different spaces or time division control of a target device so as to set a plurality of different states corresponding to the plurality of pieces of guidance information.

Abstract: There is provided systems, methods and computer program products for generating motion blur on image frames, comprising: obtaining gaze data related to an eye movement between consecutive images, determining movement of at least one object in relation to said gaze data by calculating the difference in position of said at least one object and said gaze data between the image frames, forming a motion blur vector and applying a motion blur on an image frame based on said motion blur vector.

Abstract: The present disclosure relates to systems and methods for image splicing. The systems and methods may acquire a first image and a second image, determine a plurality of first feature points in a first region of the first image, determine a plurality of second feature points in a second region of the second image, then match the plurality of first feature points with the plurality of second feature points to generate a plurality of point pairs. Based on the plurality of point pairs, a third region on the first image and a fourth region on the second image may be determined. Finally, a third image may be generated based on the first image and the second image, wherein the third region of the first image may overlap with the fourth region of the second image in the third image.

Abstract: There is provided an information processing apparatus, an information processing method, and a program that can optimize information output in response to an environment in a space, the information processing apparatus including: a recognition unit that recognizes a situation in a space based on sensor data obtained by sensing the space in which a content is output; and a determination unit that determines an output scheme of the content based on a result of the recognition and an analysis result of related information of the content.

Abstract: A face authentication apparatus includes a face image acquisition unit that acquires, as a first face image, a face image of a user who moves from a first area to a second area via a gate provided between the first area and the second area, a collation unit that performs face authentication, a flow rate measurement unit that measures a flow rate of users who move from the first area to the second area via the gate and a flow rate of users who move from the second area to the first area via the gate, and a security level determination unit that determines the security level of the first area and the security level of the second area on the basis of the flow rates measured.

Abstract: Computer vision systems and methods for localizing image forgery are provided. The system generates a constrained convolution via a plurality of learned rich filters. The system trains a convolutional neural network with the constrained convolution and a plurality of images of a dataset to learn a low level representation of each image among the plurality of images. The low level representation is indicative of a statistical signature of at least one source camera model of each image. The system can determine a splicing manipulation localization by the trained convolutional neural network.

Abstract: A tunable signal sampling system includes a computing platform having a hardware processor and a memory storing a software code that when executed receives a communications signal, identifies data partitions included in the communications signal, performs, using a first predetermined metric, a first set of comparisons each comparing a different sequential pair of the data partitions with each other, and selects, based on the first set of comparisons, a subset of the data partitions as candidate sample partitions of the communications signal. The software code also determines multiple default sample partitions of the communications signal, performs, using a second predetermined metric, a second set of comparisons each comparing a different one of the default sample partitions with a respective one of the candidate sample partitions, and extracts, using a predetermined weighting factor applied to the results of the second set of comparisons, a sample of the communications signal.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining image data of an identification (ID) document and identifying a pattern of the ID document based on analysis of the image data against a predefined patterns for a particular type of document. An identifier engine of the system computes a frequency metric that defines how often the pattern reoccurs at the ID document and generates a unique identifier for the ID document based on the computed frequency metric. The unique identifier is stored at a digital fingerprint database of the system as a digital fingerprint for the ID document.

Abstract: An image encoding method including: a constraint information generating step of generating tile constraint information indicating whether or not there is a constraint in filtering on boundaries between adjacent tiles among a plurality of tiles obtained by dividing a picture, and storing the tile constraint information into a sequence parameter set; and a filter information generating step of generating, for each of the boundaries, one of a plurality of filter information items respectively indicating whether or not filtering is executed on the boundaries, and storing the plurality of filter information items into a plurality of picture parameter sets, wherein, in the filter information generating step, the plurality of filter information items which indicate identical content are generated when the tile constraint information indicates that there is the constraint in the filtering.

Abstract: A traveling environment recognition apparatus includes a first detector that detects an object in a first region outside a vehicle, a second detector that detects an object in a second search region that at least partly overlaps with the first region, a determiner that determines whether two objects respectively detected by the two detectors are a same object, in an overlapping region of the search regions; and a recognizer that integrates the detected objects, and to recognize the detected objects as one fusion object. The recognizer compares a threshold with a parameter based on distances from the vehicle to the detected objects, to recognize the fusion object using a worst value of detection results of the detected objects when the detected objects are near the vehicle, and recognize the fusion object using a mean value of the detection results when the detected objects are far from the vehicle.