Abstract: Various aspects of a system and method for video processing is disclosed herein. The system comprises a video processing device that is configured to generate a spatial saliency map based on spatial information associated with a current frame of a video stream. A spatio-temporal saliency map is generated based on at least motion information associated with the current frame and a previous frame of the video stream. Based on a weighted combination of the generated spatial saliency map and the generated spatio-temporal saliency map, a combined saliency map is generated.

Abstract: Described here are systems and methods for producing an image that depicts blood flow stasis using magnetic resonance imaging (MRI), Doppler echocardiography, or other medical instruments for measuring flow velocities in a human body. A time series of three-dimensional (3D) image volumes is provided, where this time series of 3D image volumes contains flow velocity information at voxel locations in a 3D volume in a subject. One or more regions-of-interest are then segmented from the 3D image volumes. For each voxel in the regions-of-interest, velocity magnitudes are calculated. Using the velocity magnitudes, a flow stasis volume is produced by computing a relative stasis value for each voxel location in the corresponding region-of-interest. This flow stasis volume can be provided as a 3D flow stasis image, or a flow stasis map can be produced by projecting the flow stasis volume onto a two-dimensional (2D) plane.

Abstract: A method, system and device for determining the properties of hair and skin. The method, system and device facilities the selection and application of an application of a product to the hair or skin of an individual to achieve a desired target result. The hair or skin properties measured may include the hair composition and chemical components of the hair, as well as substances that may coat the hair, and other substances on, absorbed or absorbed on or into the hair. A hyper-spectral imaging component is employed to obtain information from the hair or skin and that information is used to provide a produce used to produce the target result.

Abstract: According to one embodiment, at least a portion of medical information of a patient is displayed within MRCS executed within a local device, the medical information including medical treatment history of the patient. At least a portion of the displayed medical information of the patient is transmitted to a medical imaging processing server over a network, where the transmitted medical information includes a patient identifier (ID) of the patient. Both the at least a portion of patient medical information and one or more medical images are displayed within the MRCS, where the medical images are associated with the patient and rendered by the medical image processing server. A set of icons representing a set of image processing tools is displayed within the MRCS, which when activated by a user, allow an image to be manipulated by the imaging processing server.

Abstract: Systems, methods, and apparatus for identifying and tracking UAVs including a plurality of sensors operatively connected over a network to a configuration of software and/or hardware. Generally, the plurality of sensors monitors a particular environment and transmits the sensor data to the configuration of software and/or hardware. The data from each individual sensor can be directed towards a process configured to best determine if a UAV is present or approaching the monitored environment. The system generally allows for a detected UAV to be tracked, which may allow for the system or a user of the system to predict how the UAV will continue to behave over time. The sensor information as well as the results generated from the systems and methods may be stored in one or more databases in order to improve the continued identifying and tracking of UAVs.

Abstract: A technology which enables identifying, via a computer, a vessel in a third image. The third image is obtained from a subtraction of a second image from a first image. The second image and the first image are aligned on an imaging space. The first image is post-contrast. The second image is pre-contrast. The technology enables determining, via the computer, a voxel intensity mean value of a segment of the vessel in the third image. The technology enables obtaining, via the computer, a fourth image from a division of the third image by the voxel intensity mean value. The technology enables applying, via the computer, a filter onto the fourth image. The technology enables generating, via the computer, a filter mask based on the fourth image.

Abstract: Mixed-mode includes receiving inspection results including one or more images of a selected region of the wafer, the one or more images include one or more wafer die including a set of repeating blocks, the set of repeating blocks a set of repeating cells. In addition, mixed-mode inspection includes adjusting a pixel size of the one or more images to map each cell, block and die to an integer number of pixels. Further, mixed-mode inspection includes comparing a first wafer die to a second wafer die to identify an occurrence of one or more defects in the first or second wafer die, comparing a first block to a second block to identify an occurrence of one or more defects in the first or second blocks and comparing a first cell to a second cell to identify an occurrence of one or more defects in the first or second cells.

Abstract: A vehicle type recognition method based on a laser scanner is provided, the method comprising steps of: detecting that a vehicle to be checked has entered into a recognition area; causing a laser scanner to move relative to the vehicle to be checked; scanning the vehicle to be checked using the laser scanner on a basis of columns, and storing and splicing data of each column obtained by scanning to form a three-dimensional image of the vehicle to be checked, wherein a lateral width value is specified for each single column of data; specifying a height difference threshold; and determining a height difference between the height at the lowest position of the vehicle to be checked in data of column N and the height at the lowest position of the vehicle to be checked in data of specified number of columns preceding and/or succeeding to the column N.

Abstract: The invention relates to a method for calibrating a camera system (7) of a motor vehicle (1). At least one camera (8-11) respectively sequentially generates camera images (21-28) from an environment (2) of the motor vehicle (1). A computing device (12) generates a virtual view (14) of the environment (2) from a virtual perspective from the camera images (21-28) by means of a projection (P). In traveling, the computing device (12) passes at least once a calibration cycle for each camera (8-11). Based on current projection parameters (30) of the projection (P), therein, camera images (23, 24) of the camera (9) are transformed. Motion vectors are determined from it. For at least one geometric characteristic of the motion vectors, a reference value is set. From a difference between the at least one geometric characteristic of the motion vectors and the respective corresponding reference value, an error value is determined. Depending on the error value, new projection parameters are determined (30).

Abstract: Aspects relate to causing one or more signals to be detectable within a live event such that devices that record at least a portion of the event also record the one or more signals. The signals can be used for later processing and categorization of received recordings in order to associate the recordings with the event. Further actions can be performed based on the association. Such actions include digital rights management, crowd-sourced experiences, and categorization of the event for searching and retrieval purposes.

Abstract: In one embodiment, a method includes obtaining a borehole image deriving from a downhole tool in a wellbore of a geological formation, identifying one or more patches that correspond to sediment particles on the fullbore image, computing one or more characteristics for each of the one or more patches. The one or more characteristics may include long/short axis length, size, roundness, sphericity, orientation, or some combination thereof. The method may also include displaying a visual representation for each of the one or more characteristics.

Abstract: Inspired by Shack Hartmann Wavefront Patterns, a device may obtain three dimensional images for use in authentication. Since such images can have high resolution, damage in, for instance, skin on a finger may be recorded and used as part of a temporary template image. In future authentication attempts, an aged version of the temporary template image may be used. Additionally, reference points on the damage may be employed when authenticating.

Abstract: The present invention is an apparatus which executes a photogrammetry method for calculating soil density. After a user excavates soil, measures the mass of the excavated soil and takes multiple images of the excavation site in combination with a calibration object, a data processor uses the various values obtained from the collected images to create a point cloud data object. The processor used this point cloud data object to create a visual representation of the hole. The processor rotates and scales the visual representation. The processor also uses the point cloud data object in volumetric calculations to determine the volume of the hole. Together with the soil mass, the volume allows calculation of soil density.

Abstract: A positron emission tomography (PET) imaging system (10) includes a singles unit (24), a delay unit (26), a scaling unit (28), and a reconstruction unit (30). The singles unit (24) is configured to generate a correction sinogram of random coincidences defined by a coincidence time window tw and a time period t based on rij=2 t si sj where rij is an estimate of the random coincidences in the time period t between singles at detector locations si and sj. The delay unit (26) is configured to determine delay coincidences in the time period t defined by a delay coincidence time window of a paired coincidences including tw to 2 tw. The scaling unit (28) is configured to scale the correction sinogram of random coincidences based on the delay coincidences. The reconstruction unit (30) is configured to iteratively reconstruct one or more images based on the scaled random sinogram and a prompt sinogram for the time period t.

Abstract: The disclosed method checks the state of degradation of the suspension of a vehicle without having to carry out tests that immobilize the vehicle or to use non-objective expertise. The method processes data provided by at least one front camera in an on-board visual system. The checking method includes steps for periodically acquiring images provided by the camera or cameras, followed by storage of the positional data of the three-dimensional road in relation to a flat road and basic positional parameter data for the path of the vehicle. The error between the ideal values of the suspension parameters of a chosen suspension model and the values of these parameters corresponding to the stored path data from the positional data is then minimized. By iteration, the accuracy ? of the error reaches a predetermined value sufficient to diagnose a state of the suspension.

Abstract: A sequence layer in a machine-learning engine configured to learn from the observations of a computer vision engine. In one embodiment, the machine-learning engine uses the voting experts to segment adaptive resonance theory (ART) network label sequences for different objects observed in a scene. The sequence layer may be configured to observe the ART label sequences and incrementally build, update, and trim, and reorganize an ngram trie for those label sequences. The sequence layer computes the entropies for the nodes in the ngram trie and determines a sliding window length and vote count parameters. Once determined, the sequence layer may segment newly observed sequences to estimate the primitive events observed in the scene as well as issue alerts for inter-sequence and intra-sequence anomalies.

Abstract: Image location selection is described for use in a depth photography system. In one example, a method includes receiving a selection from a user of a position in a captured image, comparing the selected position to objects in the image, selecting whether the selected position is intended to be within an object or outside an object, refining the position based on the selection, and determining a depth for an object corresponding to the refined position.

Abstract: Inspection apparatus includes an imaging module, which is configured to capture images of defects at different, respective locations on a sample. A processor is coupled to process the images so as to automatically assign respective classifications to the defects, and to autonomously control the imaging module to continue capturing the images responsively to the assigned classifications.

Abstract: A system for processing video signal information to identify those pixels associated with a moving object in the presence of platform and/or sensor pointing induced motion. Frame differencing with self-adjusting noise thresholds is implemented to detect pixels associated with objects that are in motion with respect to the background and a field-by-field motion pixel map of pixels associated with the moving object is generated. A two (2) step pixel grouping process is used where the first pass runs in real-time as the video signal is received and writes the links between pixel groups into entries in a table. The second pass operates on a smaller set of link data and only needs to reorder entries in the table.

Abstract: Provided are a system, method, and computer readable storage medium for generating an intra-oral scan of a dentition. A contiguous scan of an occlusal surface of at least a part of one arch of the dentition is generated. At least one additional surface is associated to the contiguous scan of the occlusal surface.