Abstract: There is provided an information processing apparatus including an image acquisition unit configured to acquire a captured image of users, a determination unit configured to determine an operator from among the users included in the acquired captured image, and a processing unit configured to conduct a process based on information about user line of sight corresponding to the determined operator.

Abstract: A method is for determining a transformation for image registration of a first image relative to a second image. The method includes ascertaining a test series of test elements including a test transformation and a test value, the ascertaining including ascertaining the test transformation based on a sequence of test transformations and/or based on previously ascertained test elements, transforming the first image via the ascertained test transformation, ascertaining a difference image, and ascertaining the test value of the test element based on the difference image such that the test value is a measure for an extension of a frequency distribution of values of pixels of the difference image in a direction of pixel value increase. It further includes determining a minimum test value based on test values encompassed by the test elements and determining the transformation which is the test transformation of a test element including the minimum test value.

Abstract: The present disclosure provides a light homogenizing device and a biometric identifying device. The light homogenizing device includes a light homogenizing member and light-emitting units. The light homogenizing member includes a hole and protrusion structures. The protrusion structures are disposed on a first surface of the light homogenizing member and surrounding an outside of the hole. A circular inclined-plane is disposed between the hole and the protrusion structures and connected to the hole. The light-emitting units are disposed opposite to the first surface, and each light-emitting units transmits a light to one of the protrusion structures. The protrusion structures homogenize the light and outwardly transmit the homogenized light through a second surface of the light homogenizing member.

Abstract: An image processing apparatus includes a current image acquisition device which acquires a current image of a subject having a structure having a periodic movement, a past image acquisition device which acquires multiple past images of the subject such that the past images captured for over one or more periods of the periodic movement are acquired, and circuitry which searches multiple feature points on each past image and the current image, associates the feature points on the current image and the feature points on each of the past images, calculates, for each of the past images, a degree of similarity between the feature points on each of the past images and the feature points on the current image based on association, and identifies to which one of the past images the current image corresponds such that at which phase of the periodic movement the current image is positioned is estimated.

Abstract: Systems and methods for personalized cancer therapy using analysis of pathology slides to target regions in a single sample that interrogates the feature data of a relatively large number of cells. The disclosure describes pathology case review tools of the future which include analysis, visualization and prediction modeling to provide novel information to the pathologist for the diagnosis of disease. This disclosure further describes a user interface to assist the physicians that make that diagnosis, pathologists. Complex computer learning algorithms will combine and mine these data sets to recommend optimal treatment strategies. A computer interface is provided which allows a pathologist to access those data instantly to make a more informed and accurate diagnosis.

Abstract: Embodiments include methods, systems and computer program products for communicating the presence of a target DNA or RNA sequence. Aspects include receiving a plurality of images of a sample taken by a portable video capture device. Aspects also include calculating a change in position over time of microscopic beads coated with DNA probe sequence in a sample containing genetic material. Aspects also include determining whether the beads are displaying Brownian motion. Aspects also include, based upon a determination of that the beads are displaying Brownian motion, generating a negative output message and sending the negative output message to a portable display. Aspects also include, based upon a determination of that the beads are not displaying Brownian motion, generating a positive output message and sending the positive output message to a portable display.

Abstract: A method and an apparatus for detecting an abnormal situation are disclosed. The method includes recognizing whether a detection target exists in a captured image; generating, based on the captured image, a three-dimensional point cloud of the detection target in the captured image, when the detection target exists; obtaining, based on the generated three-dimensional point cloud, one or more current posture features of the detection target; and determining, based on the current posture features and one or more predetermined posture feature standards, whether the abnormal situation exists, the posture feature standards being previously determined based on one or more common features when the detection target performs a plurality of abnormal actions.

Abstract: A method for detecting objects on a parking area for vehicles with the aid of image processing of images from at least two imaging sensors, detection ranges of the imaging sensors overlapping at least partially. The images of an imaging sensor whose image quality is limited by environmental conditions are weighted less strongly for the detection of objects on the parking area during image processing than images of an imaging sensor whose image quality is not limited by environmental conditions. A processing unit, a program, and an overall system for carrying out the method are also described.

Abstract: Provided is a method and apparatus for rendering a target fluid that include defining level-set information of fluid particles configuring a modeled target fluid. The level-set information comprises a shortest distance from a surface of the target fluid to the fluid particles. The method and apparatus are include discarding internal particles of the target fluid from the modeled target fluid based on the level-set information of the fluid particles, and calculating thickness information of the target fluid, from which the internal particles are discarded, based on depth information on the fluid particles. The target fluid is rendered based on the thickness information of the target fluid.

Abstract: An image processing apparatus includes an image obtaining unit to obtain a time-sequential image obtained in order of a start image, a plurality of intermediate images, and an end image. A route determining unit determines a route passing from the start to the end image via at least one of the plurality of intermediate images for the time-sequential image. An image selecting unit selects a plurality of first selection images from among the plurality of intermediate images. A conformity calculating unit calculates a first conformity based on image quality of the first selection image and a similarity between the start image and the first selection image, for each of the plurality of first selection images. A conformable image determining unit determines a first conformable image from among the plurality of first selection images on the basis of the first conformity corresponding to each of the plurality of first section images.

Abstract: An apparatus (MDS) and related method for image processing. The apparatus includes a multi-modal matcher (M). The matcher (M) operates to match a first reference (RF1) image against a stream (LF) of image frames (F1, F2). Once a match is found, the current reference image (RF1) is exchanged for a matching frame from the stream. The matcher (M) then attempts matching against subsequent frames in the stream by now using said matched frame as a new reference image. Once a further frame (Fm) is found that matches said new reference image, said further frame (Fm) is output as a best match.

Abstract: The embodiments relate to classifying and grouping images. Primary images and secondary images are created and stored. A preliminary relationship between the primary and secondary images is established. The primary image is compared with the secondary image to produce a relevance score. The relevance score is converted to a secondary image assignment, which includes selectively assigning the secondary image to a first group based on the relevance score.

Abstract: A counterfeit identification performance attribute (SIPA) sensitivity to changes in resolution of the image for features of an image is determined. The CIPA sensitivity for the features is used to choose at least one feature to determine whether the image on a sample is a counterfeit.

Abstract: A system and method for tracking the growth of large-area wildland fires. The technique includes monitoring wind conditions in and around a wildfire using near-surface-sited sensors deployed by a high-altitude long-endurance (HALE) unmanned aerial vehicle (UAV), such as the Global Hawk. The deployed sensors measure a localized wind vector at multiple locations within and surrounding the wildfire, and transmit the wind data back to the UAV for relaying to a command center operated by fire management authorities, where the wind data are used to assist decision-making, including as input into wildfire growth prediction models. The sensors may provide additional data such as local altitude/elevation, pressure, temperature and relative humidity. The UAV may also carry sensors that provide additional data to be used by the fire management authorities or the wildfire growth prediction models—such as infrared images defining actively flaming areas, and visual images which indicate vegetation type and density.

Abstract: The invention is a system and method used for detection, analysis, and reporting on player metrics of a sporting event using video images. The main components of the invention are: grabbing a digital video image frame or grabbing an analog video image frame and converting the analog video image frame to a digital video image frame, extracting field of play markings from the video image frame(s) for use as image control points, creating a perspective projection registration model based upon the pairing of image control points with a set of user-defined control points representative of the field of play, extracting player image locations on each team from the video image frames, and applying the perspective projection transformation model to register participant image locations to their respective planimetric coordinate position on the user defined field of play.

Abstract: Methods and apparatuses for tracking and correlating particles include an optical detector that captures a first and a second image of the particles. A video detector is used to capture a plurality of video frames of the particles. The video detector captures the video frames of the particles at a rate faster than the rate at which images are captured by the optical detector to track the movement of particles. A first image position of a particle in the first image of the particles is identified, and then the first image position of the particle is correlated to a second image position of the particle in the second image using the plurality of video frames.

Abstract: Provided are a re-wandering detecting device and method. The method includes: detecting an object and positional information about the object from an input image; determining whether the object wanders based on the positional information about the object; in response to determining that the object wanders, determining whether the object re-wanders by determining whether a database stores information about an object identical to the object detected from the input image; and providing information about wandering of the object according to whether the object re-wanders.

Abstract: In one embodiment, an X-ray CT apparatus includes an X-ray tube that radiates, an X-ray, a detector that outputs a plurality of pieces of pre-compression data on a basis of the X-ray first processing circuitry and second processing circuitry. The first processing circuitry groups the plurality of pieces of pre-compression data to generate grouped data corresponding to the pre-compression data in each group, and generates data for restoration for restoring the pre-compression data, wherein the first processing circuitry transmits the grouped data and the data for restoration to the second processing circuitry.

Abstract: A screen position sensing method in a multi display system, a content configuring method, a watermark image generating method for sensing a screen position, a server, and a display terminal are provided. A screen position sensing method in a multi display system performed by a sensing server may include receiving identification information of display terminals from a display server, receiving an image output by each of the display terminals from a camera, and determining a screen position of each of the display terminals based on a watermark included in the image of the display terminals and the received identification information.

Abstract: A method for improving image segmentation using a learning device including steps of: (a) if a training image is obtained, acquiring (2-K)th to (2-1)th feature maps through an encoding layer and a decoding layer, and acquiring 1st to Hth losses from the 1st to the Hth loss layers respectively corresponding to H feature maps, obtained from the H filters, among the (2-K)th to the (2-1)th feature maps; and (b) upon performing a backpropagation process, performing processes of allowing the (2-M)th filter to apply a convolution operation to (M?1)2-th adjusted feature map relayed from the (2-(M?1))th filter to obtain M1-th temporary feature map; relaying, to the (2-(M+1))th filter, M2-th adjusted feature map obtained by computing the Mth loss with the M1-th temporary feature map; and adjusting at least part of parameters of the (1-1)th to the (1-K)th filters and the (2-K)th to the (2-1)th filters.