Abstract: Methods and apparatus for grading coronary calcium, including an example apparatus that includes a set of logics and a memory that stores a set of radiographic images. The set of logics includes an image acquisition logic that acquires a set of radiographic images of a region of tissue, the set of radiographic images including a low-energy reference x-ray image and a higher-energy floating x-ray image, a registration logic that produces a set of registered images from a plurality of members of the set of radiographic images, an enhancement logic that produces a set of calcium-enhanced images from the set of registered images, a post-enhancement logic that produces a bone image from the set of calcium-enhanced images, and a grading logic that computes a coronary heart disease prediction score based, at least in part, on the bone image and a set of features extracted from the bone image.

Abstract: Described herein are systems and methods for marking a dental aligner. A method for marking a dental aligner includes receiving a digital model corresponding to a dental aligner. The digital model includes a dental arch comprising a plurality of teeth. The method further includes determining whether a section of teeth on a right side or a left side of the dental arch includes flatter occlusal surfaces and selecting the section with the flatter occlusal surfaces, identifying surfaces on the teeth of the selected section that are flat relative to other surfaces on the teeth of the selected section, determining a line of best fit between the flat surfaces, and marking the dental aligner with a marking based on the line of best fit.

Abstract: An image processing system or electronic device may implement processing circuitry. The processing circuitry may receive an image, such as financial document image. The processing circuitry may determine a character count for the financial document image or particular portions of the financial document image without recognizing any particular character in the financial document image. In that regard, the processing circuitry may determine a top left score for pixels in the financial document, the top left score indicating or representing a likelihood that a particular pixel corresponds to a top left corner of a text character. The processing circuitry may also determine top right score for image pixels. Then, the processing circuitry may identify one or more text chunks using the top left and top rights scores for pixels in the financial document image. The processing circuitry may determine a character count for the identified text chunks.

Abstract: Aspects of the present invention provide an approach for non-visually mapping an environment. In an embodiment, a set of images that is within the field of view of the user is captured from a video capture device worn by the user. Environmental text that is within the set of images is identified. An aural contextual indicator that corresponds to the environmental text is then generated. This aural contextual indicator indicates the informational nature of the environmental text. An aural map of the environment is created using a sequence of the generated aural contextual indicators. This aural map is delivered to the user via an aural output device worn by the user in response to a user request.

Abstract: A pressure measuring device 30 installs on a tube 11 for transferring a medium (e.g., blood in a extracorporeal blood circulator) so as to measure a pressure of the medium inside the tube 11. The pressure measuring device 30 includes a main body portion 31 mountable to the tube 11, an image acquisition unit 32 disposed in the main body portion 31 so as to acquire image information on a pressure receiver that is deformed in response to the received pressure of the medium inside the tube 11, and a control unit 100 that converts the image information acquired by the image acquisition unit into pressure information about the pressure.

Abstract: A method for reconstructing an image may include obtaining scan data relating to a subject. The method may also include determining a first field of view (FOV) and determining a second FOV. The method may further include reconstructing a first image based on a first portion of the scan data corresponding to the first field of view, and reconstructing a second image based on a second portion of the scan data corresponding to the second field of view. The method may also include generating a third image based on the first image and the second image.

Abstract: A teaching assistance method and a teaching assistance system using said method, the teaching assistance method comprising implementing behaviour detection of students in classroom images by means of using a trained depth tensor column network model, thus providing higher image recognition precision and reducing the hardware requirements for algorithms, and being able to be used on an embedded device, reducing the usage costs of the teaching assistance method; in addition, a teaching assistance system using said teaching assistance method has the same advantages.

Abstract: Examples disclosed herein relate to determining image capture position information based on a quasi-periodic pattern. For example, a processor may determine whether a target area is within a captured image based on the detection of a quasi-periodic pattern in a first detection area and in a second detection area of the captured image.

Abstract: Particular embodiments extract features for frames from a video. Then, a sequence of frames is identified based on a pattern analysis of frames based on the features. This pattern may be used to select sentinel features from the sequence of frames. For example, a pattern may include a first sentinel sequence followed by a transitional frame and then a second sentinel sequence. The transitional frame may be a black frame that is used to identify back-to-back sentinel sequences. Then, a sentinel frame that demarks a transition from a first content type to a second content type is identified. For example, the frames on either side of the black frame may be very similar and be identified as sentinel frames that mark a transition from program content to advertisement content. The above process may allow automated detection of sentinel frames that can run without user supervision.

Abstract: The present disclosure relates to a method and system of processing original handwriting input, the system and method being capable of recognize a plurality of strokes provided on the input recognition interface, the method including: determining a stroke box around each stroke; determining overlap between the stroke boxes; correlating overlapping stroke boxes to one or more characters; providing a character box around each of the one or more characters; determining overlap between character boxes; correlating overlapping character boxes to one or more words; providing a word box around each of the one or more words; provide a word margin around each of the one or more word boxes; determining overlap between each word box to determine a line; wherein each of the characters, words, or lines can be individually selected and rearranged, the system automatically adjusting spacing or placement of surrounding elements to allow for the rearrangement.

Abstract: A surgical instrument detection system is provided that can determine the kinds of surgical instruments without special processing, such as application of an optically readable symbol, to the surgical instruments. A surgical instrument detection system 100 includes: an image input section 31 to input an image taken by a camera 1; an object extraction section 32 to clip an object image of a small steel article from the input image; a determination section 33 to input the object image to a learned classification model 331 and determine a kind of the small steel article based on features included in the object image; and an output image generation section 34 to generate an image representing the result of determination by the determination section and output such image to a monitor 2.

Abstract: The correlation of optical images with SEM images includes acquiring a full optical image of a sample by scanning the sample with an optical inspection sub-system, storing the full optical image, identifying a location of a feature-of-interest present in the full optical image with an additional sources, acquiring an SEM image of a portion of the sample that includes the feature at the identified location with a SEM tool, acquiring an optical image portion at the location identified by the additional source, the image portions including a reference structure, correlating the image portion and the SEM image based on the presence of the feature-of-interest and the reference structure in both the image portions and the SEM image, and transferring a location of the feature-of-interest in the SEM image into the coordinate system of the image portion of the full optical image to form a corrected optical image.

Abstract: A method and apparatus for predicting an intention acquires a gaze sequence of a user, acquires an input image corresponding to the gaze sequence, generates a coded image by visually encoding temporal information included in the gaze sequence to the input image, and predicts an intention of the user corresponding to the gaze sequence based on the input image and the coded image.

Abstract: Embodiments provide slide navigation technology that addresses challenges in digital pathology of navigating and viewing high resolution slide images. Example systems comprise a virtual slide stage (VSS) having at least one sensor that detects user movement of a target placed on the VSS, and an input component, coupled to the VSS, which provides quick function movement control of the target via quick functions. The systems also comprise a connector component that connects the VSS to a user device and transmits output from the at least one sensor and input component to the user device. The systems further comprise a computer processor, in communication with the VSS, which processes the output using a computational model to generate data representing movement profiles of the target. The computer processor executes a software component, causing the output, translated based on the movement profiles, to be relayed via a viewing application on the user device.

Abstract: A key identification system is provided. The key identification system comprises an imaging system to capture an image of a master key, and a logic to analyze the captured image. The imaging system may be capture an image of a groove in the master key from an angle between perpendicular and parallel to the blade of said master key. The logic analyzes the captured image to compare characteristics of the groove with groove characteristics of known key blanks to determine the likelihood of a match between the master key and a known key blank. The key identification system may further compensate for displacement or orientation of the master key with respect to the imaging system when analyzing characteristics of the groove.

Abstract: The systems and methods herein provide improved methodologies for visualization on a user's display of sensor data (e.g., 2D and 3D information obtained from or derived from sensors) for objects, components, or features of interest in a scene. The previously acquired sensor data is processable for concurrent display of objects/features/scene or location visualizations to a user during their real-time navigation of a scene camera during a variety of user visualization activities. Sensor data can be acquired via the operation of vehicles configured with one or more sensors, such as unmanned aerial vehicles, or from other methodologies, or from any other suitable sensor data acquisition activities. Objects etc. for which acquired sensor data can be visualized by a user on a display includes buildings, parts of buildings, and infrastructure elements, among other things.

Abstract: Disclosed are various embodiments for initiating execution of an application based at least in part on an identification of the object in an image, video, or other graphical representation of the object. A graphical representation of an object is obtained using an image capture device. The object in the graphical representation is identified along with a list of applications associated with the identified object. A user interface is then rendered that allows the user to execute or install one or more of the applications associated with the identified object.

Abstract: An object detection algorithm is selectively applied to frames in a video. A frame in the video is analyzed using a set of neural networks of the object detection algorithm to detect a location of an object in the frame and predict a bounding box for the object in the frame. A magnitude of a delta between the frame and a second frame is determined. The magnitude of the delta is determined based on a difference between the two frames in values of at least one parameter of their respective sets of pixels. Responsive to the magnitude of the delta being less than a threshold, a new bounding box is predicted for the object in the second frame without analyzing the second frame using the set of neural networks.

Abstract: A waterproof paint state determining method of a building using a satellite imagery according to an exemplary embodiment of the present disclosure includes receiving search information including information about a location in which a waterproof paint application state of a rooftop of a building is to be measured from a user; searching a search satellite imagery which is at least one satellite imagery corresponding to the search information from a satellite imagery DB including a plurality of satellite imagery data; detecting a rooftop area which is a waterproof paint application area of at least one building corresponding to the search information from the search satellite imagery, using a convolutional neural network (CNN) technique; and calculating a state index which is an index indicating a waterproof paint application state of at least one building, based on reference color information and color information of the rooftop area.

Abstract: The present disclosure generally relates to a method and device of encoding a color picture having color components (Ec) comprising obtaining (11) a luminance component (L) and two chrominance components (C1, C2) from the color picture to be encoded. The method for encoding a color picture having color components comprising obtaining at least one chrominance component from the color picture to be encoded, characterized in that the method further comprises: determining a first factor based on the value of each pixel (i) of said luminance component; obtaining at least one final chrominance component by scaling said at least one chrominance component by said first factor; and encoding (13) said at least one final chrominance component.