Abstract: A visual indication is generated of depth locations of slices obtained by applying a reconstruction algorithm in a computed tomography method with given settings, the display being shown on the object, e.g. on the patient's lateral side or in close relation to the patient.

Abstract: A method for generating a high dynamic range image (HDRI) includes acquiring a first illuminance diagram, generating a second illuminance diagram from the first illuminance diagram by modifying a dynamic range of at least a portion of the first illuminance diagram, and generating the HDRI based on the second illumination diagram. The first illuminance diagram is obtained based on a camera response function and an illuminance logarithm obtained based on a plurality of images having different exposure conditions.

Abstract: A system and method for compressing digital signals representing images or video sequences. The method includes determining a plurality of generalized tree patterns associated with a corresponding plurality of target regions of an image. The generalized tree patterns may be defined by (i) multiple pattern levels, and (ii) sub-nodes and leaves associated with ones of the multiple pattern levels. A plurality of node splitting alternatives define relationships between ones of the sub-nodes and other of the sub-nodes and ones of the leaves associated with different ones of the multiple pattern levels. Once pixel data from all the target regions of the image has been processed, compressed image data is generated by encoding, using arrangements of hierarchical pyramids, pattern data corresponding to the generalized tree patterns.

Abstract: A plurality of character regions is extracted from an image, candidates for an item value region including an item value corresponding to a predetermined item name are identified from among the plurality of character regions based on a condition for the item value, candidates for a key word region including the predetermined item name are identified from among the plurality of character regions based on a position of each of the identified candidates for the item value region, and the key word region including the predetermined item name is identified from among the identified candidates for the key word region.

Abstract: A finger stability detecting method for a fingerprint sensing device includes triggering a pressure sensing function, receiving a pressure sensing value which is generated in response to triggering the pressure sensing function, and determining whether a finger touch is stable according to at least the pressure sensing value.

Abstract: The technology disclosed relates to operating a motion-capture system responsive to available computational resources. In particular, it relates to assessing a level of image acquisition and image-analysis resources available using benchmarking of system components. In response, one or more image acquisition parameters and/or image-analysis parameters are adjusted. Acquisition and/or analysis of image data are then made compliant with the adjusted image acquisition parameters and/or image-analysis parameters. In some implementations, image acquisition parameters include frame resolution and frame capture rate and image-analysis parameters include analysis algorithm and analysis density.

Abstract: A computer-implemented method for processing images to identify Energy Infrastructure (EI) features within aerial images of global terrain is provided. The image processing method identifies information about EI features by applying an EI feature recognition model to aerial images of global terrain. The EI feature recognition model identifies the EI feature information according to image content of the aerial image and according to supplemental information about EI features in the global terrain. The method further uses the results of the identification to update the EI feature recognition model.

Abstract: A method for determining at least one property related to at least part of a real environment comprises receiving a first image of a first part of a real environment captured by a first camera, wherein the first camera is a thermal camera and the first image is a thermal image and the first part of the real environment is a first environment part, providing at least one description related to at least one class of real objects, wherein the at least one description includes at least one thermal property related to the at least one class of real objects, receiving a second image of the first environment part and of a second part of the real environment captured by a second camera, wherein the second part of the real environment is a second environment part, providing an image alignment between the first image and the second image, determining, for at least one second image region contained in the second image, at least one second probability according to the image alignment, pixel information of the first image

Abstract: An apparatus for classifying an action in a video of a sports event including receiving a first video segment and a second video segment in the sports video, wherein the second video segment is the segment after next of the first video segment; receiving a predetermined play state of the first video segment and a different predetermined play state of the second video segment, locating a play object in one of a predetermined set of regions in a field of the sports event in the second segment; determining a role of a player interacting with the play object when the play object is located one of the predetermined set of regions in the second video segment; and classifying the action in the first video segment based on the located play object and the determined role.

Abstract: A computer-implemented method for processing images to determine EI site status is provided. The method includes image processing of an aerial image by two EI feature recognition models. A first EI feature recognition model recognizes a first EI feature and a second EI feature recognition model recognizes a second EI feature. The results of each model are further used to determine a composite indication of EI site status.

Abstract: A pedestrian detection method is applied to a monitoring camera. The pedestrian detection method includes forming a first detecting window on at least one monitoring frame via an object analysis function, utilizing a human form detection function to modulate the first detecting window for forming a second detecting window, analyzing the second detecting window via a human local detection function to mark an upper detecting window about a pedestrian on the monitoring frame, and determining whether to calibrate the second detecting window via analysis of the upper detecting window.

Abstract: Systems, methods, and computer-executable instructions for extracting key value data. Optical character recognition (OCR) text of a document is received. The y-coordinate of characters are adjusted to a common y-coordinate. The rows of OCR text are tokenized into tokens based on a distance between characters. The tokens are ordered based on the x,y coordinates of the characters. The document is clustered into a cluster based on the ordered tokens and ordered tokens from other documents. Keys for the cluster are determined from the first set of documents. Each key is a token from a first set of documents. A value is assigned to each key based on the tokens for the document, and values are assigned to each key for the other documents. The values for the document and the values for the other documents are stored in an output document.

Abstract: The present disclosure provides an image recognition method and apparatus, a device and a non-volatile computer storage medium. In embodiments of the present disclosure, it is feasible to obtain the to-be-recognized image of the designated space, then perform image segmentation processing for the to-be-recognized image, to obtain at least one area image of the designated space, and then perform image matching processing for each area image in said at least one area image, to obtain a reference image corresponding to said each area image, so that it is possible to perform recognition processing for said each area image according to image information of the reference image corresponding to said each area image to obtain article information of said each area image. The so doing does not require manual participation and exhibits simple operations and a high rate of correctness, and thereby improves the recognition efficiency and reliability.

Abstract: Disclosed are methods, systems, and machine readable mediums which provide for an automatic image scaling that may be utilized in a variety of contexts, including for scaling images inserted into documents. The image may be scaled based upon one or more scaling features that may be utilized alone or in combination. Scaling features may be described by scaling feature categories, although as will be appreciated, the scaling features may be placed in one or more categories. Example feature categories may include image characteristics; image content; content of the document and context of the image within the document; past user behavior and preferences; and the like.

Abstract: Systems and methods are provided for correcting motion artifacts in magnetic resonance images. An image-to-image neural network is used to generate motion corrected magnetic resonance data given motion corrupted magnetic resonance data. The image-to-image neural network is coupled within an adversarial network to help refine the generated magnetic resonance data. The adversarial network includes a generator network (the image-to-image neural network) and a discriminator network. The generator network is trained to minimize a loss function based on a Wasserstein distance when generating MR data. The discriminator network is trained to differentiate the motion corrected MR data from motion artifact free MR data.

Abstract: A method, apparatus and computer readable storage to implement an automated system for video surveillance in a casino or other controlled environment. Players in the casino can be automatically scanned and analyzed for whether they are under the legal gambling age or not. When an underage gambler is detected, a casino security employee (or other casino personnel) is notified so they can take the appropriate action. Similarly, players who are excluded from the casino can also be automatically detected and would be ejected when detected.

Abstract: A crystal analysis apparatus includes a first storage unit storing a crystal lattice image of a crystal region of a sample and a reference crystal lattice image for the crystal region of the sample. A first image processing unit is configured to generate a moiré image from the crystal lattice image and the reference crystal lattice image. A second storage unit stores a predetermined correspondence relationship between a moiré fringe pattern in the moiré image and a crystal defect in the crystal region or a predetermined correspondence relationship between the moiré fringe pattern in the moiré image and a crystal strain in the crystal region. An analysis unit is configured to compare the moiré fringe pattern in the moiré image to predetermined correspondence relationships stored in the second storage unit.

Abstract: A drawing data generating method according to an embodiment is a method for generating drawing data input to a drawing apparatus that draws a plurality of figure patterns on an object using a charged particle beam. The method includes generating the drawing data in accordance with a data format that not only defines a plurality of pieces of figure information, but also sequentially defines dose information of each figure before or after the plurality of pieces of figure information. The dose information of each of the second and succeeding figures is converted to a representation based on the dose information of any preceding figure, and a data length of the dose information is made variable for each figure. For example, the dose information of each of the second and succeeding figures is converted to a difference representation between a dose of the figure and a dose of the preceding figure, and a data length of the difference representation is changed in accordance with the magnitude of a difference value.

Abstract: A method can include classifying, using a compressed and specialized convolutional neural network (CNN), an object of a video frame into classes, clustering the object based on a distance of a feature vector of the object to a feature vector of a centroid object of the cluster, storing top-k classes, a centroid identification, and a cluster identification, in response to receiving a query for objects of class X from a specific video stream, retrieving image data for each centroid of each cluster that includes the class X as one of the top-k classes, classifying, using a ground truth CNN (GT-CNN), the retrieved image data for each centroid, and for each centroid determined to be classified as a member of the class X providing image data for each object in each cluster associated with the centroid.

Abstract: Methods and apparatus to monitor environments are disclosed. Example audience measurement devices disclosed herein include means for executing a first recognition analysis on three-dimensional data representative of a first object within a threshold distance from a three-dimensional sensor. Disclosed example audience measurement devices also include means for executing a second recognition analysis on two-dimensional data representative of a second object outside the threshold distance from the three-dimensional sensor. Disclosed example audience measurement devices further include means for combining a first detection of a first person provided by the first recognition analysis and a second detection of a second person provided by the second recognition analysis to generate a people count for an environment.