Abstract: A method for acquiring a distance from a moving body to an object located in any direction of the moving body includes steps of: an image processing device (a) instructing a rounded cuboid sweep network to project pixels of images, generated by cameras covering all directions of the moving body, onto N virtual rounded cuboids to generate rounded cuboid images and apply 3D concatenation operation thereon to generate an initial 4D cost volume, (b) instructing a cost volume computation network to generate a final 3D cost volume from the initial 4D cost volume, and (c) generating inverse radius indices, corresponding to inverse radii representing inverse values of separation distances of the N virtual rounded cuboids, by referring to the final 3D cost volume and extracting the inverse radii by using the inverse radius indices, to acquire the separation distances and thus, the distance from the moving body to the object.

Abstract: Apparatus for determining a spatial property in a 3D-space, wherein the apparatus comprises a physical pointer, a camera and a position and orientation measurement system, wherein a first object in the 3D-space comprises a pattern on it, wherein the physical pointer is configured to contact a surface area of a second object in the 3D-space, wherein the camera is configured to capture, at a position of the camera with respect to the first object, image data comprising an image of the pattern; wherein the position and orientation measurement system is configured to determine a heading, position, verticality, attitude, and/or inclination of the camera based on the image of the pattern, and determine, based on the determined heading, position, verticality, attitude, and/or inclination of the camera and a relative position of the physical pointer with respect to the camera, the spatial property of the surface area by the physical pointer.

Abstract: A method is disclosed including: receiving raw image data corresponding to a series of raw images; processing the raw image data with an encoder to generate encoded data, where the encoder is characterized by an input/output transformation that substantially mimics the input/output transformation of one or more retinal cells of a vertebrate retina; and applying a first machine vision algorithm to data generated based at least in part on the encoded data.

Abstract: What is disclosed are systems and methods for optical correction for correcting for non-uniformity in active matrix light emitting diode device (AMOLED) and other emissive displays, using iterative processing of images of calibration patterns including features of coarse and fine granularity to successively generate a high-resolution estimate of the panel pixel locations.

Abstract: A method and system for detecting a fall risk condition, the system comprising a surveillance camera configured to generate a plurality of frames showing an area in which a patient at risk of falling is being monitored, and a computer system comprising memory and logic circuitry configured to store motion feature patterns that are extracted from video recordings, the motion feature patterns are representative of motion associated with real alarm cases and false-alarm cases of fall events, receive a fall alert from a classifier, determine motion features of one or more frames from the plurality of frames that correspond to the fall alert; compare the motion features of the one or more frames with the motion feature patterns, and determine whether to confirm the fall alert based on the comparison.

Abstract: Color calibration for digital pathology is provided. A standard glass slide is prepared with a specimen having zero or more stains. The specimen is scanned a first time using a hyperspectral imaging system to produce a first digital image having XYZ color values. The specimen is scanned a second time using a digital pathology imaging system to produce a second digital image having RGB color values. The first and second digital images are then registered against each other to align the digital image data. Individual pixels of the first and second images may be combined in the registration process so that the first and second digital images have substantially similar pixel sizes. A lookup table is generated to associate XYZ color values to RGB color values. Once the lookup table has been generated, it can be used to present RGB color on a display using the corresponding XYZ color.

Abstract: The invention relates to a method and system for optical product authentication, in which a product is labeled with optically active particles, a reference image is recorded in a registration step and a recognition image of the optically active particles is recorded in a recognition step. The product is then authenticated by comparing image data or a coding derived from image data in the registration step versus the recognition step.

Abstract: A method for detecting a flow velocity of a high-temperature molten fluid can include: collecting a video stream of a high-temperature high-velocity molten fluid, decomposing the video stream into a frame image sequence sorted by time, and extracting a molten fluid Region Of Interest (ROI) from the frame image sequence, extracting a molten fluid outline of the molten fluid ROI, and extracting a characteristic block of the molten fluid outline, and obtaining the flow velocity of the molten fluid based on the characteristic block. A flow velocity detection accuracy can be improved for a molten fluid with a high temperature, a high velocity and a high glossiness.

Abstract: Systems and methods for improving soft tissue contrast, characterizing tissue, classifying phenotype, stratifying risk, and performing multi-scale modeling aided by multiple energy or contrast excitation and evaluation are provided. The systems and methods can include single and multi-phase acquisitions and broad and local spectrum imaging to assess atherosclerotic plaque tissues in the vessel wall and perivascular space.

Abstract: Systems and methods are disclosed for receiving a target image corresponding to a target specimen, the target specimen comprising a tissue sample of a patient, applying a machine learning model, which may also be known as a machine learning system, to the target image to determine at least one characteristic of the target specimen and/or at least one characteristic of the target image, the machine learning model having been generated by processing a plurality of training images to predict at least one characteristic, the training images comprising images of human tissue and/or images that are algorithmically generated, and outputting the at least one characteristic of the target specimen and/or the at least one characteristic of the target image.

Abstract: A system and method for determining a traffic sign violation are provided. The method may include obtaining a traffic rule corresponding to the traffic sign. The method may further include acquiring, by at least one camera, video data associated with a scene around a traffic sign. The video data may include a series of frames. The method may further include identifying the vehicle in the series of frames and determining whether the vehicle violates the traffic rule based on the series of frames. In response to the determination that the vehicle violates the traffic rule, the method may further include obtaining information of the vehicle and transmitting the information of the vehicle to a server.

Abstract: The present disclosure provides an operating method of a dopamine transporter check system, and the operation method includes steps as follows. A scan image of a subject's brain is obtained from a scan machine, and the scan image is a three-dimensional image. The scan image is aligned to a standard brain space to obtain a standardized scan image. Intensity normalization is performed on the standardized scan image. The standardized scan image after the intensity normalization is converted into a two-dimensional image. A plurality of image data are got from at least one region of interest in the two-dimensional image, and the at least one region of interest includes a left caudate, a left putamen, a right caudate and a right putamen. A dopamine neuron loss degree measurement and evaluation model based on the image data is established through a transfer learning.

Abstract: A method of quantitatively evaluating a cognitive impairment and its future change from a medical image of an individual's brain, the method comprising scanning the individual's brain with a scanning device so as to acquire at least one medical brain image; processing the medical brain image to obtain at least one feature of the image; using a pre-established prediction model to determine a condition of the cognitive impairment and predict its future change based on the at least one feature obtained.

Abstract: Disclosed is a care device recommendation server providing a service for recommending a skin care device for a user, the care device recommendation server including: a data management unit configured to obtain face images of the user from a shin measurement device including a camera and a display; a skin condition determination unit configured to determine a first skin condition of the user corresponding to a first time point at which the face images are obtained, based on the obtained the face images; a care device recommendation unit configured to determine the skin care device for the user among a plurality of care devices included in a care device DB based on the determined first skin condition; a care device control value-providing unit configured to provide a first control value of the skin care device corresponding to the first skin condition to each of a user terminal of the user and the skin measurement device; a care device control unit configured to remotely control the care device such that the sk

Abstract: A pattern inspection system inspects an image of an inspection target pattern of an electronic device using an identifier constituted by machine learning, based on the image of the inspection target pattern of the electronic device and data used to manufacture the inspection target pattern. The system includes a storage unit which stores a plurality of pattern images of the electronic device and pattern data used to manufacture a pattern of the electronic device, and an image selection unit which selects a learning pattern image used in the machine learning from the plurality of pattern images, based on the pattern data and the pattern image stored in the storage unit.

Abstract: An approach is provided for an asymmetric evaluation of polygon similarity. The approach, for instance, involves receiving a first polygon representing an object depicted in an image. The approach also involves generating a transformation of the image comprising image elements whose values are based on a respective distance that each image element is from a nearest image element located on a first boundary of the first polygon. The approach further involves determining a subset of the plurality of image elements of the transformation that intersect with a second boundary of a second polygon. The approach further involves calculating a polygon similarity of the second polygon with respect the first polygon based on the values of the subset of image elements normalized to a length of the second boundary of the second polygon.

Abstract: Embodiments herein disclose systems, methods, and computer-readable media for integrating facial recognition technology into clinical workflows. An application can manage receipt of a source image, including a face of an unidentified individual, and communicate the source image for facial recognition processing. The facial recognition processing can identify an individual and demographic information associated thereto, as well as provide information to access an electronic health record server housing one or more electronic health records. The application can access health-related data for the individual from the individual's EHR and rank the accessed information to communicate to a source device in a custom, prioritized communication.

Abstract: A calibration device fora 3D (three dimensional) camera and a robotic arm includes three plates with fixed relative positions and non-parallel separation disposed on a mount. Three spatial planes extending from the three plates intersect at a positioning point for external parameter correction. A calibration method for coordinates of a 3D (three dimensional) camera and a robotic arm using the calibration device is also specified in detail.

Abstract: A method and apparatus for calibrating a projection axis orientation for an optical projector associated with a vehicle inspection or service system so as to enable projection of indicia onto selected spatial locations within a vehicle service area. Projector axis orientations required for the projection of visible indicia onto reference targets disposed at determinable locations within a common coordinate system of the vehicle service area are utilized to establish a relationship utilized to mathematically transform between selected spatial coordinate locations for projected indicia and corresponding orientations of the projection axis, facilitating projection of the visible indicia to additional spatial coordinate locations within the common coordinate system.

Abstract: A parking enforcement system includes an autonomous vehicle that is equipped with an image capture device that is configured to capture images of license plates of parked vehicles while the autonomous vehicle moves through a parking zone. The system will process the images to extract license plate numbers from the images. The system will correlate the license plate numbers with data in a parking enforcement database to determine whether the license plate numbers are associated with an unexpired parking transaction. For any license plate number that is not subject to an unexpired parking transaction, the system may initiate an enforcement action. For any license plate number that is subject to an unexpired parking transaction, the system may not initiate an enforcement action.