Abstract: A method for volumetric image reconstruction of data collected from a plurality of radiation beams emitted from axially offset positions includes receiving projection data from at least two radiation beams emitted from axially offset positions, defining a first boundary between a first region irradiated only by a first beam of the at least two radiation beams and a second region irradiated by both the first beam and a second beam of the at least two radiation beams, defining a weighting function as a function of the first boundary, and reconstructing a volumetric image from the data that is weighted with the weighting function. Each beam moves on a circular trajectory and radiates at a plurality of view angles over the circular trajectory.

Abstract: A method for displaying a 3-D surface of an object, the method executed at least in part on a computer, acquires a set comprising a plurality of members, wherein each member is a 3-D view of the object Relation data that associates each member of the set of 3-D views to at least one other member of the set is generated according to at least displacement between the members. A composite 3-D surface of the object is formed according to the generated relation data. One or more positioning errors in the composite surface are automatically detected according to the generated relation data and at least a portion of the relation data re-generated to correct the one or more positioning errors. A corrected composite 3-D surface formed according to the re-generated relation data is displayed.

Abstract: A method for verifying authenticity of a monitoring signal includes employing a multitude of actuators to impact a physical environment with individual signals, wherein the individual signals originate from the actuators and are directed to the physical environment; observing, via at least one sensor device, the physical environment so as to record the monitoring signal, wherein the monitoring signal represents a combined impact of the individual signals on the physical environment; and comparing the monitoring signal with an expected signal to determine a degree of similarity between the monitoring signal and the expected signal, wherein the expected signal is computed on the basis of one or more predetermined template.

Abstract: Fall detection and reporting technology, in which output from at least one sensor configured to sense, in a room of a building, activity associated with a patient falling is monitored and a determination is made to capture one or more images of the room based on the monitoring. An image of the room is captured with a camera positioned to include the patient within a field of view of the camera and the captured image of the room is analyzed to detect a state of the patient at a time of capturing the image. A potential fall event for the patient is determined based on the detected state of the patient and a message indicating the potential fall event for the patient is sent based on the determination of the potential fall event for the patient. Techniques are also described for fall detection and reporting using an on-body sensing device.

Abstract: A color measurement device obtains edge information based on an image of a color chart. The color measurement device statistically processes the edge information to obtain edge statistic information. Based on the edge information and the edge statistic information, the color measurement devices obtains the position of each patch of a number of patches of the color chart.

Abstract: A facial recognition search system identifies one or more likely names (or other personal identifiers) corresponding to the facial image(s) in a query as follows. After receiving the visual query with one or more facial images, the system identifies images that potentially match the respective facial image in accordance with visual similarity criteria. Then one or more persons associated with the potential images are identified. For each identified person, person-specific data comprising metrics of social connectivity to the requester are retrieved from a plurality of applications such as communications applications, social networking applications, calendar applications, and collaborative applications. An ordered list of persons is then generated by ranking the identified persons in accordance with at least metrics of visual similarity between the respective facial image and the potential image matches and with the social connection metrics.

Abstract: The invention provides a method of analyzing a sporting activity comprising receiving location data associated to a first player; receiving location data associated to a game object; receiving location data associated to a second player; determining a relative location of the first player in (5) relation to the game object location and the second player location, at least partly from the received location data associated to the first player, the game object and/or the second player; comparing the determined relative location of the first player with a set of reference relative locations of the first player; and determining a match between the determined relative location of the first player and at least one reference relative location of the first player. Other aspects of the (10) invention provide a classification system.

Abstract: Satellite images from vast historical archives are analyzed to predict severe storms. We extract and summarize important visual storm evidence from satellite image sequences in a way similar to how meteorologists interpret these images. The method extracts and fits local cloud motions from image sequences to model the storm-related cloud patches. Image data of an entire year are adopted to train the model. The historical storm reports since the year 2000 are used as the ground-truth and statistical priors in the modeling process. Experiments demonstrate the usefulness and potential of the algorithm for producing improved storm forecasts. A preferred method applies cloud motion estimation in image sequences. This aspect of the invention is important because it extracts and models certain patterns of cloud motion, in addition to capturing the cloud displacement.

Abstract: Provided are a dose calculation method, a dose calculation device, and a computer-readable storage medium. The dose calculation method comprises: generating an intermediate image between a plurality of sequentially acquired diagnostic images; and calculating doses through a simulation using the diagnostic images and the intermediate image.

Abstract: The disclosure relates to an image compression system, an image decompression system, a training method and device, as well as a display device. In the image compression system, convolutional neural network modules are used to complete the update and prediction processes. As such, the weight of each filtering unit in the convolutional neural network module can be trained in order to provide the corresponding image compression system with a better compression rate, thereby reducing the difficulty in setting the filtering parameters of the image compression unit and the image decompression unit.

Abstract: The present disclosure discloses a medical image storing method, an information exchanging method, and apparatuses. A method includes: acquiring a medical image and a reference image, where the medical image and the reference image are images of a same region of a first object that are photographed at different times; determining an increment of the medical image relative to the reference image; and storing the increment of the medical image relative to the reference image. According to some embodiments of the present disclosure, an increment of a medical image relative to a reference image is determined, and only the reference image and the increment of the medical image relative to the reference image are stored, thereby reducing storage space occupied by a medical image.

Abstract: To acquire information relating to a vessel wall thickness by: acquiring interference signal sets of a plurality of frames including interference signal sets corresponding to a plurality of frames forming an image of the same cross section of an fundus; generating 3-D tomographic image data on the fundus from the interference signal sets of the plurality of frames; generating 3-D motion contrast data in the fundus from the interference signal sets corresponding to the plurality of frames that form the same cross section; extracting a vessel from the fundus based on the 3-D tomographic image data or the 3-D motion contrast data; detecting a coordinate of an outer surface of a vessel wall of the vessel based on the 3-D tomographic image data; and detecting a coordinate of an inner surface of the vessel wall of the vessel based on the 3-D motion contrast data.

Abstract: A processing device receives an intraoral image of a first intraoral site. The processing device selects a portion of the intraoral image that depicts a portion of the first intraoral site. The processing device locks at least the portion of the intraoral image. The processing device may then generate a model comprising the first intraoral site based at least in part on the locked intraoral image, wherein the portion of the intraoral image is used for a first region of the model, and wherein data from one or more additional intraoral images that also depict the portion of the first intraoral site is not used for the first region of the model.

Abstract: An inspection device 1 includes an inspection table 2 on which an inspection target T which is a set of a plurality of solid drugs O is placed, a vibration unit 3 that vibrates the inspection table 2, an imaging unit 4 that acquires an image of the inspection target T, which is placed on the inspection table 2, in a first direction along the inspection table 2, and a control unit 5 that determines whether the solid drugs O in the inspection target T overlap each other, based on inspection target information including appearance information of each of the drugs forming the inspection target T and the image of the inspection target T in the first direction, and operates the vibration unit 3 in a case in which it is determined that the solid drugs O overlap each other.

Abstract: A measurement apparatus and method for measuring a vital sign of a subject are provided. A plurality of frames showing a subject is captured. A region of interest (ROI) on the subject is detected. A vital-sign signal is generated according to the sensing signals related to the ROI. A quality index of the vital-sign signal is evaluated. Whether the subject is a living body is determined according to the quality index. A determination result of determining whether the subject is the living body is used to control a heart-rate measurement operation.

Abstract: There are included a colony evaluation unit 31 that acquires an evaluation result of the cell colony in a cell image obtained by imaging the cell colony, a divided region setting unit 32 that sets a plurality of divided regions by dividing the region of the cell colony according to the evaluation result, a display control unit 34 that displays each of the plurality of divided regions, and a region deformation unit 33 that deforms the divided regions according to a change in the form of the cell colony due to an operation on the cell colony. The display control unit 34 changes a display of the divided regions before the change in form of the cell colony to a display of the divided regions after the deformation.

Abstract: According to a first aspect, the invention relates to a method to support clinical decision by characterizing images acquired in sequence through a video medical device. The method comprises defining at least one image quantitative criterion, storing sequential images in a buffer, for each image (10) in the buffer, automatically determining, using a first algorithm, at least one output based on said image quantitative criterion and attaching said output to a timeline (11).

Abstract: A method of blink detection in a laser eye surgical system includes providing a topography measurement structure having a geometric marker. The method includes bringing the topography measurement structure into a position proximal to an eye such that light traveling from the geometric marker is capable of reflecting off a refractive structure of the eye of the patient, and also detecting the light reflected from the structure of the eye for a predetermined time period while the topography measurement structure is at the proximal position. The method further includes converting the light reflected from the surface of the eye into image data and analyzing the image data to determine whether light reflected from the geometric marker is present is in the reflected light, wherein if the geometric marker is determined not to be present, the patient is identified as having blinked during the predetermined time.

Abstract: A target setting apparatus sets a target correcting a sight line detection portion to detect a sight line of a subject person. A deviation between a position of the target and a position detected as a center of the sight line detected by the sight line detection portion when the subject person is estimated to be gazing at the target is regarded as a detection error and applied to a correction. The target setting apparatus includes: a sight line range estimation portion that estimates a sight line range; a candidate point extraction portion that extracts a candidate point for the target from the sight line range; a candidate point evaluation portion that evaluates appropriateness of the candidate point as the target by using a plurality of indices; and a target setting portion that determines whether or not to set the candidate point as the target.

Abstract: An unmanned aerial vehicle (UAV) assessment and reporting system may utilize one or more scanning techniques to provide useful assessments and/or reports for structures and other objects. The scanning techniques may be performed in sequence and optionally used to further fine tune each subsequent scan. The system may include shadow elimination, annotation, and/or reduction for the UAV itself and/or other objects. A UAV may be used to determine a pitch of roof of a structure. The pitch of the roof may be used to fine tune subsequent scanning and data capture to capture perpendicular images of target field of views and/or target distances.