Abstract: Correcting motion-based inaccuracy in point cloud data generated by one or more sensors carried by a scanning platform, and associated systems and methods are disclosed herein. A representative method includes associating a motion model with a target object of the point cloud, estimating adjusting factors based on the motion model, and adjusting scanning points in the point cloud using the adjusting factors.

Abstract: A medical image processing apparatus according to an embodiment includes a reception unit and a detection unit. The reception unit is configured to receive two points specified on at least one sagittal image. The detection unit is configured to detect an intervertebral disc by evaluating a luminance distribution within a region that includes the two points.

Abstract: An image-based object counting method includes rasterizing a counting line in an image into counting line pixels; determining two points on a trajectory line included in the image, as target pixels; determining, from the counting line pixels, corresponding pixels that corresponds to the target pixels; determining whether the counting line intersects with the trajectory line based on the target pixels and the corresponding pixels; and determining the number of one or more trajectory lines including the trajectory line that intersect with the counting line as the number of objects that pass through the counting line.

Abstract: An entity interaction recognition system algorithmically recognizes a variety of different types of entity interactions that may be captured in two-dimensional images. In some embodiments, the system estimates the three-dimensional spatial configuration or arrangement of entities depicted in the image. In some embodiments, the system applies a proxemics-based analysis to determine an interaction type. In some embodiments, the system infers, from a characteristic of an entity detected in an image, an area or entity of interest in the image.

Abstract: An image processing apparatus for detecting a singular point from image data having a plurality of pixel signals arranged in a two-dimensional manner, having a stochastic resonance processing unit configured to perform parallel steps in each of which a noise is added to and the result is subjected to binarization processing, synthesize the results of the parallel steps and output the result, with regard to each of the plurality of pixel signals; and a unit configured to detect the singular point based on the output signal value from the stochastic resonance processing unit for each of the plurality of pixel signals. The stochastic resonance processing unit performs the binarization processing on a pixel as a processing target among the plurality of pixel signals based on the pixel signal of the pixel as the processing target and a pixel signal of a pixel adjacent to the pixel as the processing target in a predetermined direction.

Abstract: A system for incorporating geographical data into a map-related system, adding objects being tracked while moving within a specific geographic area and automatically analyzing their movement characteristics; wherein the tracking is done by visual means from a sky-borne platform.

Abstract: In one example embodiment, an information processing apparatus, for an observed image associated with an observation target object (e.g., a section of biological tissue), associates and stores position information and observation magnification information. In this embodiment, the information processing apparatus causes a display device to: (i) display an image associated with the observation target object; (ii) indicate the first positional information of the first observed image; and (iii) indicate the first observation magnification information of the first observed image.

Abstract: Methods and supporting systems calculate a three-dimensional orientation of a camera based on images of objects within the cameras field of view. A camera (such as a camera within a mobile phone), captures two-dimensional video content including a human body and at least one additional object and assigns a frame of the video content at a first time as an anchor frame. The human body within the anchor frame is modeled by assigning points of movement to a set of body elements. A subsequent frame of the video content is received in which the human body has moved, and a translation function is derived that calculates the three-dimensional position of each of the body elements based on two dimensional movements of the body elements between the anchor frame and the subsequent frame. Using the translation function, a three-dimensional relationship of the camera and the additional object is calculated.

Abstract: A method, image processing system and computer program product are provided for detecting an anatomical marker within an image study. In the context of a method, data elements associated with image slices of the image study of a patient are accessed. The data elements are representative of one or more characteristics of the image slices, but do not include picture elements that comprise the image slices. The method also includes reviewing the data elements associated with at least some image slices of the image study of the patient. The method further includes detecting the anatomical marker within the image study based upon a review of the data elements and identifying a subset of the image slices of the image study based upon the anatomical marker or a distance from the anatomical marker.

Abstract: Methods and apparatus to automatically generate an image quality metric for an image are provided. An example method includes automatically processing a first medical image using a deployed learning network model to generate an image quality metric for the first medical image, the deployed learning network model generated from a digital learning and improvement factory including a training network, wherein the training network is tuned using a set of labeled reference medical images of a plurality of image types, and wherein a label associated with each of the labeled reference medical images indicates a central tendency metric associated with image quality of the image. The example method includes computing the image quality metric associated with the first medical image using the deployed learning network model by leveraging labels and associated central tendency metrics to determine the associated image quality metric for the first medical image.

Abstract: An apparatus of motion amplification to communicate biological vital signs includes a first frequency filter that applies a frequency filter to at least two images, a regional facial clusterial module that is coupled to the first frequency filter and that applies spatial clustering to output of the first frequency filter, a second frequency filter that is coupled to the regional facial clusterial module and that is applied to output of the regional facial clusterial module, thus generating a temporal variation, a vital-sign generator that is coupled to the second frequency filter that generates at least one vital sign from the temporal variation, and a display device that is coupled to the vital-sign generator that displays the at least one vital sign.

Abstract: What is disclosed is a system and method for automatically segmenting a breast from surrounding tissue in a thermal image. A thermal image of at least one breast of the patient is received. The thermal image is then analyzed to identify a set of N points around the breast, a contour of an outline of the body, and isotherms of the axilla and infra-mammary fold. Thereafter, the points are connected together to form a N-sided irregular polygon which segments the breast from surrounding tissue. Each of the points is a vertex of the polygon and comprises a draggable object which enables a user to selectively manipulate a shape of the polygon. A user can add/delete vertices from the polygon as desired. The area of the image encompassed by the polygon is communicated to a breast cancer screening algorithm performing automated or semi-automated screening.

Abstract: A method and apparatus for identifying platelets within a whole blood sample. The method includes the steps of: a) adding at least one colorant to the whole blood sample, which colorant is operable to tag platelets; b) disposing the blood sample into a chamber defined by at least one transparent panel; c) imaging at least a portion of the sample quiescently residing within the chamber to create one or more images; and d) identifying one or more platelets within the sample using an analyzer adapted to identify the platelets based on quantitatively determinable features within the image using a analyzer, which quantitatively determinable features include intensity differences.

Abstract: An apparatus includes: an input configured to receive a plurality of images, wherein the images include respective sub-images of a bodily part of a subject, and wherein a position of the bodily part relates to a breathing movement and a cardiac movement of the subject; a first registration engine configured to determine a first registration of at least two breathing correlated images, wherein the at least two breathing correlated images comprise two of the plurality of images or are derived from at least some of the plurality of images; a second registration engine configured to determine a second registration of at least two cardiac correlated images; and a volumetric image generator configured to generate a volumetric image using the first registration and the second registration.

Abstract: The invention relates to a method for quantifying the level of agglutination of particles in a sample, in particular a biological sample, and notably blood. The biological sample is positioned between a light source and a matrix photodetector. The image acquired by the photodetector is representative of the level of agglutination of the particles in the sample. The light source emits a light wave, the spectral band of which extends an optimum 400 and 600 nm, which constitutes an optimum an excessively low absorption and excessively high absorption, given the thickness of the sample.

Abstract: In various embodiments, different mobile phone apparatuses are provided, comprising: a touchscreen including a backlight; a near field communication interface; at least one non-transitory memory storing instructions; and one or more processors in communication with the touchscreen, the near field communication interface, and the at least one non-transitory memory, wherein the one or more processors execute the instructions to initiate various capabilities and/or functionalities in connection with a lock screen displayed on the touchscreen.

Abstract: According to one aspect, the subject matter described herein includes a method for secure content watermarking. The method includes generating a watermark that encodes information as a set of visual elements; receiving content that represents a graphical workspace to be displayed to a user; creating watermarked content by combining an image of the received content with at least one copy of the watermark sufficient to fill the area of the image; and displaying the watermarked content to the user via a display device having a display area. Should the user take a screenshot or take a picture of some or all of the watermarked content, the picture so acquired will contain watermark information that can be used to identify the session from which the picture or screenshot was taken.

Abstract: A motion evaluation system includes a marker member including a body part having a first surface and a second surface parallel to the first surface, a reference indication part indicating a center of the first surface, and a plurality of markers arranged on the first surface to be spaced apart from the reference indication part. The marker member is arranged on an object such that the reference indication part is arranged at a reference point of a first coordinate system. A plurality of cameras generate coordinate images by respectively photographing the markers. A first coordinate calculator calculates first coordinate values of the markers in a first coordinate system by using separation distances of the markers and a first distance between the first surface and the second surface, the separation distances and the first distance being previously stored.

Abstract: A system, method, and computer program product are provided to: receive, utilizing the touchscreen, an indication of a second touch input for trace path-based selection of a first photo of a second set of multiple of the plurality of photos in the grid; in response to the receipt of the indication of the second touch input for trace path-based selection of the first photo of the second set of multiple of the plurality of photos in the grid, cause selection of the first photo of the second set of multiple of the plurality of photos in the grid, change at least one visual aspect of the first photo of the second set of multiple of the plurality of photos in the grid, add a check mark icon to the first photo of the second set of multiple of the plurality of photos in the grid; receive, utilizing the touchscreen, an indication of a continuation of the second touch input for trace path-based selection of a second photo of the second set of multiple of the plurality of photos in the grid; and in response to the rece

Abstract: Three-dimensional visual servoing for positioning a robot in an environment is facilitated. Three-dimensional point cloud data of a scene of the environment is obtained, the scene including a feature. The three-dimensional point cloud data is converted into a two-dimensional image, and a three-dimensional position of the feature is identified based on the two-dimensional image. An indication of the identified three-dimensional position of the feature is then provided.