Abstract: Techniques are disclosed for managing display of content from multi-view video data. According to these techniques, an object may be identified from content of the multi-view video. The object's location may be tracked across a sequence of multi-view video. The technique may extract a sub-set of video that is contained within a view window that is shifted in an image space of the multi-view video in correspondence to the tracked object's location. These techniques may be implemented either in an image source device or an image sink device.

Abstract: An example cleaning card for cleaning a check-reading machine can include at least two opposing surfaces. The opposing surfaces can include a cleaning feature configured to clean at least one component of the check-reading machine when the cleaning card is fed through the check-reading machine. An ink can be located on at least one of the opposing surfaces. The ink can define a set of Magnetic Ink Character Recognition (MICR) characters capable of identifying the cleaning card. The position of the set of MICR characters can coincide with a routing field of the cleaning card as defined in accordance with the standard of the American National Standards Institute (ANSI) X9 family of standards. Other systems, apparatuses, and methods are also described.

Abstract: An example cleaning card for cleaning a check-reading machine can include at least two opposing surfaces. The opposing surfaces can include a cleaning feature configured to clean at least one component of the check-reading machine when the cleaning card is fed through the check-reading machine. An ink can be located on at least one of the opposing surfaces. The ink can define a set of Magnetic Ink Character Recognition (MICR) characters capable of identifying the cleaning card. The position of the set of MICR characters can coincide with a routing field of the cleaning card as defined in accordance with the standard of the American National Standards Institute (ANSI) X9 family of standards. Other systems, apparatuses, and methods are also described.

Abstract: A control target area determiner 21 sets a rectangular target area surrounding a measurement area specified on an optical microscopic image of a sample. A validity determiner 22 and binarization processor 23 divide all small areas within the target area into a first group which overlaps the measurement area and a second group which does not overlap, and assign valid flag “1” and invalid flag “0” to the first and second groups, respectively. A compression processor 24 reads individual flag data in a predetermined order on all small areas within the target area, creates a binary-data string, and compresses the string by run length encoding. A control-processing unit 2 sends the compressed data to a main apparatus 1 along with other data, including information indicating the position of the first small area within the target area. The main apparatus 1 performs an analysis while gradually decoding those data.

Abstract: A method of image processing in a structured light imaging system is provided that includes receiving a captured image of a scene, wherein the captured image is captured by a camera of a projector-camera pair, and wherein the captured image includes a binary pattern projected into the scene by the projector, applying a filter to the rectified captured image to generate a local threshold image, wherein the local threshold image includes a local threshold value for each pixel in the rectified captured image, and extracting a binary image from the rectified captured image wherein a value of each location in the binary image is determined based on a comparison of a value of a pixel in a corresponding location in the rectified captured image to a local threshold value in a corresponding location in the local threshold image.

Abstract: A method of pillow customization includes analyzing shapes associated with people through the use of sensors to create analytical data; receiving photos from a subject user through a first computing device and a server; determining a firmness of a mattress of the subject user based on the photos; determining body measurements of the subject based on the photos through one or more algorithms and a second computing device; providing the subject user with a pillow diagram, the pillow diagram having one or more zones, each of the one or more zones being customizable in firmness; receiving one or more subject user inputted selections through the first computing device; and designing a pillow based on the firmness of the mattress, the body measurements, and the one or more subject user inputted characteristics, the pillow being customized to the subject user.

Abstract: This disclosure introduces an approach that includes techniques for determining an optimal weighted execution sequence of available reconstruction algorithms using a multi-processor unit. The introduced approach includes executing a series of optimal weighted execution sequence candidates on a representative slice of the image data and comparing their results to select one of the candidates as the optimal weighted execution sequence.

Abstract: Embodiments include devices and methods for capturing images of a game by an unmanned autonomous vehicle (UAV). A processor of the UAV may determine game play rules of the game. The processor may predict a game action based on the determined game play rules. The processor may determine a position from which to capture an image of the game based on the predicted game action, and may move the UAV to the determined position to enable the UAV to capture of an image of the game from the determined position.

Abstract: A system and method for fitting pacifiers and other implements to a particular child. One or more images of the child are used to determine anthropometric data that can be used to properly size a pacifier bulb and properly fit other implements.

Abstract: In accordance with embodiments of this disclosure, a computational simulation platform comprises a computer-implemented method that includes: generating a three-dimensional (3D) reconstruction of a vessel lumen and a surface of the vessel lumen based on invasive or non-invasive imaging; generating a mesh of the 3D reconstructed vessel lumen and surface of the vessel lumen; assigning material properties to the 3D reconstructed surface of the vessel lumen; importing design and material properties of stents and balloons; generating a mesh of a stent and balloon; positioning the meshed stent and balloon within the mesh of the 3D reconstructed vessel lumen and surface of the vessel lumen; performing balloon pre-dilation, stenting and balloon post-dilation computational simulations with the mesh of the 3D reconstructed vessel lumen and surface of the vessel lumen; and assessing stent and vessel morphometric and biomechanical measures based on the computational simulations.

Abstract: The present disclosure provides a method, an apparatus, a device for evaluating image tracking effectiveness and a readable storage medium. The method includes: extracting feature points from a target image according to a predefined algorithm; determining first texture information for the target image according to the feature points; processing the target image according to a predefined processing policy to derive a contrast image, and determining second texture information for the target image according to the contrast image; and rating the target image according to the first texture information and the second texture information. In the solution provide by the present disclosure, the tracking effectiveness for the target image can be known without having to place the target image into any actual product, nor having to wait until the product has been finalized before the target image tracking effectiveness is determined. Moreover, efficiency can be enhanced when evaluating image tracking effectiveness.

Abstract: The present application discloses a vehicle monitoring method and apparatus, processor, and image acquisition device. The method includes: identifying a vehicle window area image in a vehicle image obtained through monitoring; performing feature identification on the vehicle window area image to obtain an identification result of a target feature; performing human eye sensory processing on the vehicle image and the vehicle window area image respectively, and stitching the processed vehicle image and the processed vehicle window area image to obtain a processed image; and outputting the identification result of the target feature and the processed image. The present application solves the technical problem of relatively low identification rate in vehicle monitoring by image detection.

Abstract: There is a need to prevent the amount of information about read images from increasing excessively, improve the productivity, and reduce the storage capacity to store read images. There is provided a level setter that sets a level of accuracy for an image inspection process. An inspection image data generator generates inspection image data by using a resolution or a gradation setting corresponding to a level set by the level setter. A comparison image data generator generates comparison image data by using a resolution or a gradation setting corresponding to a level set by the level setter. Lowering a level set by the level setter decreases the amount of the inspection image data and the comparison image data.

Abstract: In the present invention, information is analyzed, the positional relationship of cells/microbes in the optical axis direction is detected, and motility of cells/microbes is evaluated even in an out-of-focus view from an image obtained by a single image capture in an observation view of the cells/microbes.

Abstract: A recognition support system for a vehicle includes an image recognition sensor including a camera configured to capture an image of a periphery of a host vehicle while alternately repeating an exposure period and a non-exposure period; an irradiation device configured to irradiate light to the periphery of the host vehicle; an object recognition unit configured to recognize an object existing in the periphery of the host vehicle by using the image recognition sensor; and a light irradiation control unit configured to, when the object recognized by the object recognition unit is an alert target object, carry out intermittent irradiation of light to the alert target object by using the irradiation device, the intermittent irradiation being carried out such that an irradiation period of light and a non-irradiation period of light are alternately repeated and the non-irradiation period overlaps with at least part of the exposure period.

Abstract: A method of patient specific treatment planning is described herein. The method includes receiving an image file of a region of interest of an anatomy; extracting co-ordinates information and density information of a plurality of points of an image of the image file; pre-training a neural network based on the co-ordinates information, the density information and collective information of a database; performing at least one of a virtual action, and a treatment, via a user, on the region of interest based on collective information in the database; and training the neural network based on a user input, and the collective information from the database. The collective information comprises a plurality of clusters of different physiological states. The plurality of clusters comprises a plurality of sub-clusters. The virtual action and the treatment are performed through at least one of a virtual reality and an augmented reality.

Abstract: Disclosed are various embodiments for methods and systems for three-dimensional imaging of subject particles in media through use of dark-field microscopy. Some examples, among others, include a method for obtaining a three-dimensional (3D) volume image of a sample, a method for determining a 3D location of at least one subject particle within a sample, a method for determining at least one spatial correlation between a location of at least one subject particle and a location of at least one cell structure within a cell and/or other similar biological or nonbiological structure, a method of displaying a location of at least one subject particle, method for increasing the dynamic range of a 3D image acquired from samples containing weak and strong sources of light, and method for sharpening a 3D image in a vertical direction.

Abstract: One or more systems, devices, methods and storage mediums are provided herein for ablation-zone simulation, visualization, planning and/or performance. At least one system, device, method and storage medium may obtain an image volume; obtain a description of a surface that includes a shape of the surface, a size of the surface, and a location of the surface in the image volume; sample the image volume on the surface or along a ray from each surface point to another point within the shape, for example, such that sampled surface-image data is or are produced; and generate a visualization of the sampled surface-image data.

Abstract: A radiographic-image processing apparatus includes an acquiring section configured to acquire not only data on each moving image but also an information item obtained in a predetermined time from capturing of the corresponding moving image if a plurality of moving images captured at different times is designated, and an allocating section configured to perform a process of saving each information item acquired by the acquiring section in a storage section in association with a data item on a corresponding moving image of the designated individual moving images.

Abstract: The disclosure provides example methods that include a processor: (a) generating at least one phase contrast image of a biological specimen comprising one or more cells centered around a focal plane for the biological specimen; (b) generating a confluence mask in the form of a binary image based on the at least one phase contrast image; (c) receiving a first brightfield image of the biological specimen at a defocusing distance above the focal plane and a second brightfield image of the biological specimen at the defocusing distance below the focal plane; (d) generating a cell image of the biological specimen based on the first and second brightfield image; (e) generating a seed mask based on the cell image and the phase contrast image; and (f) generating an image of the biological specimen showing a cell-by-cell segmentation mask based on the seed mask and the confluence mask.