Abstract: Systems and methods capable of initializing centroids in large datasets before commencement of clustering operations. The systems and methods can utilize a random sampling window to increase the speed of centroid initialization. The systems and methods can be modified to leverage parallelism and be configured for execution on multi-node compute clusters. Optionally, the initialization systems and methods can include post-initialization centroid discarding and/or re-assignment operations that adaptively control cluster sizes.

Abstract: A method and system for image processing are provided in the present disclosure. The method may include obtaining a plurality of source images generated by a plurality of imaging sensors. The method may also include processing each of the plurality of source images by: retrieving a plurality of source image blocks from the source image according to block position information associated with the corresponding imaging sensor; generating, for each of the plurality of source image blocks, a target image block based on the source image block; and forming a target image based on the generated target image blocks. The method may further include generating a combined image based on the target images.

Abstract: Methods, systems, and related products that provide enhanced broadening and narrowing navigation capabilities through visualized populations of items, such as media content items. Aspects of the disclosure relate to methods of identifying a population of items and groupings of those items for visualizing, via a graphical interface, in a meaningful and easily navigable configuration. Aspects of the present disclosure relate to pre-selection interactions with visualized populations to explore potential narrowing or broadening navigation actions, and selection interactions for performing a narrowing or broadening navigation.

Abstract: In some embodiments, a process and system are provided for generating a user interface for classification of a sample image of a cell that includes receiving a sample image of a sample particle from a biological sample and selecting reference images that each portray a reference particle of a biological sample. The reference images can be ordered based on similarity and the reference images can be selected based on the order. The first selected reference image can be aligned with the sample image and expanded such that the adjacent edges of the reference image and sample image are the same. The expanded image can be dynamically filled. The sample image and the expanded reference image can be displayed in a user interface.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing point cloud data representing a sensor measurement of a scene captured by one or more sensors to generate an object detection output that identifies locations of one or more objects in the scene. When deployed within an on-board system of a vehicle, the object detection output that is generated can be used to make autonomous driving decisions for the vehicle with enhanced accuracy.

Abstract: A method for evaluating images and, in particular, for evaluating correspondence hypotheses of images. The method includes (i) providing a hypothesis matrix of correspondence hypotheses between first and second images, each given as a corresponding image matrix, (ii) evaluating the hypothesis matrix and conditional verification of the image correspondence hypotheses and (iii) providing verified image correspondence hypotheses in a correspondence matrix of image correspondences as the evaluation result, the hypothesis matrix being evaluated by forming and evaluating a histogram with respect to the values of the component for each element of the hypothesis matrix for at least one component of correspondence hypotheses.

Abstract: A computer-implemented method for creating a virtual object; the method comprising: obtaining a digital representation of a real-world object, the digital representation representing a visual appearance of a shape of the real-world object; obtaining an input indicative of one or more properties of an entity different from the real-world object; creating a virtual object representing the real-world object; and assigning, based on at least the obtained input, an attribute to the created virtual object.

Abstract: A method of generating a similarity hash for an executable includes extracting a plurality of characteristics for one or more classes in the executable, and transforming the plurality of characteristics into a set of one or more class fingerprint strings corresponding to the one or more classes. The set of class fingerprint strings is transformed into a hash string using minwise hashing, such that a difference between hash strings for different executables is representative of the degree of difference between the executables. The hash of a target executable is compared with hashes of known malicious executables to determine whether the target executable is likely malicious.

Abstract: A sortation system is disclosed that includes a programmable motion device including an end effector, a perception system for recognizing any of the identity, location, and orientation of an object presented in a plurality of objects, a grasp selection system for selecting a grasp location on the object, the grasp location being chosen to provide a secure grasp of the object by the end effector to permit the object to be moved from the plurality of objects to one of a plurality of destination locations, and a motion planning system for providing a motion path for the transport of the object when grasped by the end effector from the plurality of objects to the one of the plurality of destination locations, wherein the motion path is chosen to provide a path from the plurality of objects to the one of the plurality of destination locations.

Abstract: A method of constrained mobility mapping includes receiving from at least one sensor of a robot at least one original set of sensor data and a current set of sensor data. Here, each of the at least one original set of sensor data and the current set of sensor data corresponds to an environment about the robot. The method further includes generating a voxel map including a plurality of voxels based on the at least one original set of sensor data. The plurality of voxels includes at least one ground voxel and at least one obstacle voxel. The method also includes generating a spherical depth map based on the current set of sensor data and determining that a change has occurred to an obstacle represented by the voxel map based on a comparison between the voxel map and the spherical depth map. The method additional includes updating the voxel map to reflect the change to the obstacle.

Abstract: In various example embodiments, a variational technique is provided for texturing a polygon mesh based on source images of a scene. The technique combines information from multiple source images to generate a texture map with patches that are the most similar to corresponding patches of the source images. The texture map may be the direct result of an optimization that jointly searches for the texture map and patch correspondence, which is initially unknown. The optimization may use a variational formulation that scores every possible texture map using an energy function that includes a matching term that quantifies how similar patches of the texture map are to the corresponding patches of the source images, and a regularization term that quantifies how complex the patch correspondence is.

Abstract: An image processing apparatus includes a setting unit, a small region setting unit, a determination unit, a search unit, a noise reduction unit, and a synthesis unit. The setting unit sets a target patch in an input image. The small region setting unit sets a small region near the target patch. The determination unit determines a number of similar patches to be detected as a patch similar to the target patch based on a noise amount in the small region. The search unit searches the input image for the similar patch based on the number of similar patches. The noise reduction unit configured to perform noise reduction processing with respect to the target patch using the target patch and the similar patch. The synthesis unit generates an image by synthesizing a plurality of patch groups subjected to the noise reduction processing.

Abstract: A device capable of autonomous motion may process image data determined by one or more cameras to determine one or more properties of objects represented in the image data. The device may determine that two or more computer vision components correspond to a particular property. A first computer vision component may process the image data to determine first output data, and the second computer vision component may process the first output data to determine second output data corresponding to the property.

Abstract: A video camera comprises a housing (102) configured of a top housing portion (104), a mid-housing portion (106) and a bottom housing portion (108). The top housing portion is configured as a circular and rounded exterior contoured wall (110) having an exterior recessed feature (112) formed along an edge (114). The mid-housing portion (106) is formed of an IR window ring (116) having an alignment tab (118) extending therefrom, the alignment tab being aligned and recessed within the exterior recessed feature (112) of the rounded exterior contoured wall (110) of the top housing portion (104), and the bottom housing portion (108) providing a camera dome (120) seated within and protruding from the IR window ring (116).

Abstract: Method and apparatus to match bounding boxes around text to align forms. The approach is less computationally intensive, and less prone to error than text recognition. For purposes of achieving alignment, information per se is not as important as information location. Information within the bounding boxes is not as critical as is the location of the area which the bounding boxes occupy. Scanning artifacts, missing characters, or noise generally do not affect bounding boxes themselves so much as they do the contents of the bounding boxes. Thus, for purposes of form alignment, the bounding boxes themselves are sufficient. Using bounding boxes also avoids misalignment issues that can result from stray marks on a page, for example, from holes punched in a sheet, or from handwritten notations.

Abstract: An online system distributes content items describing events to one or more users of the online system. The online system receives, an event from a third-party system, the event associated with one or more content items. The online system determines a vector representation of users based on a first neural network and a vector representation of an event based on a second neural network. The online system jointly trains the first neural network and second neural network based on labels describing user entity relationships. The online system determines a likelihood of attendance of an event by a user based on a distance between the vector representation of the user and the vector representation of the entity. The online system provides the content associated with the event to users of the online system based on the likelihood of attendance of the event by the users.

Abstract: The present disclosure is related to an image processing method of virtual reality. The image processing method may include obtaining position information of a gaze point; performing a compression process on an original image to obtain a compressed image based on the position information of the gaze point; performing a compression process on a distorted image of the original image in an lens to obtain a compressed distorted image based on the position information of the gaze point; and performing an anti-distortion process on the compressed image to obtain an anti-distortion image based on a relationship between the compressed image and the compressed distorted image. The position information of the gaze point may be position information of a gaze point of a user's eye on an original image.

Abstract: A server device configured to communicate, via a communication network, with at least one device including a learner configured to perform processing by using a learned model, includes processor, a transmitter, and a storage configured to store a plurality of shared models pre-learned in accordance with environments and conditions of various devices. The processor is configured to acquire device data including information on an environment and conditions from the at least one device, and select an optimum shared model for the at least one device based on the acquired device data. The transmitter is configured to transmit a selected shared model to the at least one device.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for recognizing a body movement. A specific embodiment of the method includes: sampling an input to-be-recognized video to obtain a sampled image frame sequence of the to-be-recognized video; performing key point detection on the sampled image frame sequence by using a trained body key point detection model, to obtain a body key point position heat map of each sampled image frame in the sampled image frame sequence, the body key point position heat map being used to represent a probability feature of a position of a preset body key point; and inputting body key point position heat maps of the sampled image frame sequence into a trained movement classification model to perform classification, to obtain a body movement recognition result corresponding to the to-be-recognized video.

Abstract: A system and methods for designing single-stage hardware sorting blocks, and further using the single-stage hardware sorting blocks to reduce the number of stages in multistage sorting processes, or to define multiway merge sorting networks.

Abstract: Image encoded documents are identified by recognizing known objects in each document with an object recognizer. The objects in each page are filtered to remove lower order objects. Known features in the objects are recognized by sequentially organizing each object in each filtered page into a one-dimensional array, where each object is positioned in a corresponding one-dimensional array as a function of location in the corresponding filtered page. The one-dimensional array is then compared to known arrays to classify the image document corresponding to the one-dimensional array.

Abstract: A method for compensating a design image of a workpiece and a system for processing the design image of the workpiece are disclosed. The method includes the following steps. Obtaining a real image of the workpiece, with the real image having registration holes. Calculating a slope value for each of the registration holes. Determining an amount of interpolation points between each two neighboring registration holes of the registration holes according to the slope value corresponding to each of the registration holes. Obtaining positions of control points in blocks formed by the registration holes. Compensating the design image of the workpiece according to positions of the registration holes, positions of the plurality of interpolation points and the positions of the control points for generating a mapping image. Outputting the mapping image adapted to be mapped onto the workpiece. The system, together with the method, will be introduced.

Abstract: A storage system and method for improved playback analysis are provided. In one embodiment, a storage system is provided comprising a memory and a controller. The controller is configured to identify a plurality of frames in video data stored in the memory that differ from surrounding frames by more than a threshold amount; receive a request from a host for quick playback of the video data; and send the plurality of frames to the host. Other embodiments are provided.

Abstract: An imaging device images a sample holder held by a sample stage. At a front side (target side) of the imaging device, a light emitter device array and a mask array are provided. A plurality of light beams are generated by the light emitter device array. A plurality of center parts of the plurality of light beams are masked by the mask array. A plurality of shadows produced thereby are covered by a plurality of peripheral parts of the plurality of light beams.

Abstract: An image processing device including: a first feature quantity selecting unit configured to select a first feature quantity of a document image that is a character recognition target among first feature quantities that are recoded in advance and represent features of character strings of an item; a character recognition processing unit configured to perform a character recognition process for the document image; a character string selecting unit configured to select a character string of a specific item corresponding to the first feature quantity among the character strings acquired as a result of the character recognition process; and a determination result acquiring unit configured to acquire a determination result indicating whether or not a character string that has been input in advance matches the character string of the specific item in a case in which the character string selecting unit has not selected any one of the character strings.

Abstract: Actions performed at a client application for a service during a session between the client application and the service. The client application runs on the client device and a service server hosts the service. Events received by a backend application running on a backend server from the service server during the session are also captured. The actions performed at the client application are correlated with the events received by the backend application from the service server. Backend application load testing data is generated. The backend application load testing data includes, for each action performed at the client application, the event received by the backend application from the service server that corresponds to the action.

Abstract: The present disclosure relates to an IoT device control system and method, including: by a user terminal, capturing an image of a real space that includes therein one or more IoT devices; when capturing the image, matching and registering at least one of a position and a posture of the user terminal with an IoT device selected by a user; displaying a control screen for the selected IoT device when the user terminal satisfies a condition, wherein the condition is determined by using at least one of the position and the posture of the user terminal matched and registered with the selected IoT device; and controlling the selected IoT device according to a user input received through the control screen. According to the present disclosure, a user can conveniently check and control an IoT device to be controlled, by using virtual reality and augmented reality.

Abstract: A printer includes an image forming unit to form a toner image on an image receptor by using a toner containing fluorescent additives for generating light in a predefined wavelength band in response to light in an invisible wavelength band, transfer the toner image to a print medium, and fix the toner image on the print medium, a photodetector including a light emitting unit configured to irradiate light in an invisible wavelength band to the toner image accommodated in one of the image receptor and the print medium, and a light receiving unit to detect reflected light from the toner image, and a controller to control a printing operation of the image forming unit, based on a detection signal from the light receiving unit.

Abstract: An ad collision machine can be configured to evaluate collision queries for possible ad collisions and is associated with an ad datacenter configured to evaluate and respond to bid requests on behalf of a plurality of advertisers. The ad collision machine can comprise a plurality of nodes and a data cache containing a plurality of user ID-campaign ID keys representing recently submitted bids in response to bid requests. Once a selected node receives a collision query, a user ID-campaign ID key is retrieved from the collision query. If the first key is not found in the data cache, it is written to the data cache by the node and the ad collision machine returns that user ID-campaign ID pair as available to be bid on.

Abstract: An inspection feature for an adhesive bond portion between parts of a component comprising the inspection feature extending from a surface of the part of the component a predetermined bond line thickness, the inspection feature having a density configured to imitate a defect of the adhesive bond portion responsive to a non-destructive inspection scan.

Abstract: A task template changing device includes a specification unit that specifies a relevant task template related to a changed task template on the basis of difference information from the changed task template in a case where any one of plural task templates obtained by customizing a reference task template is changed, and a reflection unit that reflects contents of the change on the relevant task template specified by the specification unit.

Abstract: A method for recognizing a dynamic gesture includes: positioning a dynamic gesture in a video stream to be detected to obtain a dynamic gesture box; capturing an image block corresponding to the dynamic gesture box from each of multiple image frames of the video stream; generating a detection sequence based on the captured image block; and performing dynamic gesture recognition according to the detection sequence.

Abstract: Embodiments of the disclosure disclose a system to mitigate against adversarial input samples for machine learning (ML)/artificial intelligence (AI) models. According to one embodiment, a system receives a query from a client for a ML service. The system calculates a similarity score for the query based on a number of prior queries received from the client, the similarity score representing a similarity between the received query and the prior queries. The system determines that the query is an adversarial query in response to determining that the similarity score is above a predetermined threshold.

Abstract: There are provided an image evaluation apparatus, an image evaluation method, and an image evaluation program capable of highly evaluating an image having an impression of a user's preference. A plurality of images included in a first image group are input to an image evaluation apparatus (step 21). A plurality of representative image candidates are displayed (step 22), and the user selects a desired representative image from the representative image candidates (step 23). The difference between the impression value of the representative image and the impression value of the input image is calculated (step 24), and the image quality of the input image is determined (step 25). An image evaluation value is calculated so as to become higher as the difference between the impression values becomes smaller and the image quality becomes higher (step 26).

Abstract: An image pickup apparatus includes an image sensor, a detection sensor, a memory, and a processor. The image sensor is configured to repeatedly perform an image pickup operation to generate a set of a plurality of images with different exposures in one image pickup operation. The detection sensor is configured to perform a first detection to detect a motion of the image sensor. The processor is configured to execute instructions in the memory to perform a second detection to detect a motion vector, to select an image used to detect the motion vector in the second detection based on the motion of the image sensor from the set of the plurality of images with different exposures among the images, and to generate a combined image by performing alignment and combining processing on at least some of the images generated by the image sensor based on the motion vector.

Abstract: A system and method of identifying a changed element within a target web page is disclosed. A pre-region longest matching segment of the pre-region that matches a pre-region segment of a pre-region of a source web page is identified within a pre-region of the target page. A post-region longest matching segment of the post-region that matches a post-region segment of the post-region of a source web page is identified within a post-region of the target page. The changed element in the target web page is identified that is between the pre-region longest matching segment and the post-region longest matching segment in response to the pre-region longest matching segment being determined to be within a pre-defined distance of the post-region longest matching segment.

Abstract: Disclosed embodiments provide systems and methods related to managing inventory by validating physical quantities of items in fulfillment centers for use with a user interface. A method for managing inventory comprises receiving, from a mobile device, a request for one or more validation locations, a zone for performing a validation, a validation type, and a round of validation, retrieving validation locations, each location associated with a status of not assigned, assigned, problem zone, or validated, and determining which of the retrieved validation locations needing assignment have a location in the received zone, a match in the validation type, and a match round of validation. Based on the determination, the method further comprises selecting one or more of the matching validation locations if a status of each determined validation locations is equal to not assigned and responding to the received request by transmitting one or more selected validation locations to the mobile device.

Abstract: A system and method is provided for rapidly collecting high quality images of a specimen through controlling a re-focusable beam of an electron microscope. An intelligent acquisition system instructs the electron microscope to perform an initial low-resolution scan of a sample. A low-resolution image of the sample is received by the intelligent acquisition system as scanned image information from the electron microscope. The intelligent acquisition system then determines regions of interest within the low-resolution image and instructs the electron microscope to perform a high-resolution scan of the sample, only in areas of the sample corresponding to the determined regions of interest or portions of the determined regions of interest, so that other regions within the sample are not scanned at high-resolution. The intelligent acquisition system then reconstructs an image using the collected high-resolution scan pixels and pixels in the received low-resolution image.

Abstract: A face authentication apparatus includes a face image acquisition unit that acquires a face image of an authentication target, a collation unit that performs face authentication by calculating similarity between face information of the face image of the authentication target and reference face image of each registered user and comparing the similarity with a threshold, a prediction unit that predicts a change in the similarity on the basis of similarity history on authentication success, and a threshold change unit that changes the threshold on the basis of the prediction result.

Abstract: An image processing apparatus includes a hardware processor that: calculates a representative signal value in a region where no signal value variations attributable to dynamic states of an object are present, in each of a plurality of frame images acquired by consecutively applying radiation onto the object a plurality of times, and extracts high-frequency components of changes over time in the calculated representative signal values; and corrects signal value variations attributable to a fact that an irradiation amount varies each time the radiation is applied, by subtracting the extracted high-frequency components from the plurality of frame images, respectively, or dividing the plurality of frame images by the extracted high-frequency components, respectively.

Abstract: An apparatus comprising a memory to store a first image captured by a first camera and a second image captured by a second camera; and a processor comprising circuitry, the processor to identify viewpoint information defining a view for a stitched image, the stitched image to be generated from a combination of a plurality of images comprising the first image and the second image; and based on the viewpoint information and a projection type, determine transformation parameters for at least one reference region associated with overlapping regions of the first image and the second image in order to: localize overlapping regions of the first image and the second image to determine stitching parameters; combine the first image and the second image using the stitching parameters; and assign data of the combined first image and the second image to the stitched image.

Abstract: Disclosed embodiments provide improvements in integration template generation. In embodiments, existing customer integration flows already created by users are analyzed using computer-implemented methods, and from these customer integration flows, templates are created that encapsulate the general patterns that are seen in existing customer integration flows. The customer integration flows are anonymized by removing proprietary and/or identifying data. The result is customer integration templates based on actual real-world usage, which can more accurately resemble the needs of customers as compared to traditional templates that are authored by someone envisioning how he thinks the applications will be linked together, but not based on how they actually are used. Disclosed embodiments can generate integration templates based on general patterns encountered by multiple users that serve as a good starting point for any user that wants to do similar integrations.

Abstract: Disclosed embodiments provide systems and methods related to managing inventory by validating physical quantities of items in fulfillment centers for use with a user interface. A method for managing inventory comprises receiving, from a mobile device, a request for one or more validation locations, a zone for performing a validation, a validation type, and a round of validation, retrieving validation locations, each location associated with a status of not assigned, assigned, problem zone, or validated, and determining which of the retrieved validation locations needing assignment have a location in the received zone, a match in the validation type, and a match round of validation. Based on the determination, the method further comprises selecting one or more of the matching validation locations if a status of each determined validation locations is equal to not assigned and responding to the received request by transmitting one or more selected validation locations to the mobile device.

Abstract: A game engine is configured to accept human intelligence tasks as in-game content and present the in-game content to the game player. A method performed by the game engine enables performance of human intelligence tasks, such as visual discrimination, in a video game context. The game engine may receive a definition of human intelligence tasks from one or more remote sources. The game engine may present the human intelligence tasks to multiple video game participants as in-game content. The game engine defines and enables game play rules for the in-game content. The game play rules set parameters for the multiple video game participants to perform the human intelligence tasks to achieve desired results. The game engine may award each of the multiple video game participants an improved game score upon successful performance of the human intelligence tasks in accordance with the game play rules. The game engine may measure success by consistency in responses between different participants or trials.

Abstract: When there is an image component common to multiple registered images, the accuracy of individual identification lowers. A decision unit decides, for each partial area, the degree of effectiveness relating to calculation of a score representing a similarity between a registered image obtained by capturing an object to be registered and a collated image obtained by capturing an object to be collated, based on whether or not the partial area contains an image component common to multiple registered images obtained by capturing multiple objects to be registered. A calculation unit calculates the score based on image components contained in the registered image and the collated image and on the degrees of effectiveness.

Abstract: The present disclosure is to provide a computer-aided cell segmentation method for determining cellular Nuclear-to-Cytoplasmic ratio, which comprises acts of obtaining a cytological image using non-invasive in vivo biopsy technique; performing a nuclei segmentation process to identify a position and a contour of each of identified nuclei in the cytological image; performing a cytoplasmic process with an improved active contour model to obtain a cytoplasmic region for each identified nucleus based; and determine a cellular Nuclear-to-Cytoplasmic ratio based on the obtained nucleus and cytoplasmic regions.

Abstract: Systems and methods are disclosed for network event grouping. For example, methods may include generating a graph including vertices and edges, wherein at least one of the vertices is associated with an event type from a set of event types and wherein at least one of the edges is associated with a weight; removing, based on an associated weight and a first threshold, one or more edges from the graph; determining, after removing the one or more edges from the graph, whether the graph is chordal; responsive to determining that the graph is chordal, identifying a connected subgraph within the graph; determining a group of event types to include event types that are associated with vertices in the identified connected subgraph; and transmitting, storing, or displaying data specifying the group of event types.

Abstract: The present disclosure provides a system and method for generating a video synopsis. The method may include obtaining a video captured by a movable camera at a plurality of positions, the video including a sequence of video frames; determining, for each of at least part of the sequence of video frames, a position label of the video frame that indicates one of the plurality of positions of the movable camera; classifying the at least part of the sequence of video frames into a plurality of groups based on their position labels; determining one or more objects of interest in at least one of the plurality of groups; generating, for the at least one of the plurality of groups, a video synopsis based on the one or more objects of interest.

Abstract: A locating system that performs a locating method for locating a flame-cut billet in a stack of flame-cut billets that includes an imager that obtains an image of an end surface of a billet, a classifier that classifies the image of the end surface, and a matcher that matches the classified image of the end surface with a classified image from among a plurality of classified images stored in a classified image storage.

Abstract: In an embodiment, a method includes acquiring a first image data set of the patient, via an X-ray apparatus, at a first time point during the operative intervention, the first image data set including the reference structure, the anatomical structure and the reference system between the reference structure and the anatomical structure; acquiring a second image data set of the patient at a second time point, the second image data set including at least the reference structure; registering the second image data set to the first image data set. As a result of the registering of the second image data set to the first image data set, a registered second image data set is determined. Finally, an embodiment of the method includes determining the validity of the reference system by a comparison of the registered second image data set with the first image data set.