Abstract: A system and method are provided for the reconstruction of medical image data using filtered backprojection with the use of a wavelet transformation. A filter function is applied to at least one part of an object using projection data captured with a detection device prior to backprojection.

Abstract: This disclosure provides enhanced techniques for tracking the movement of real-world objects for improved display of virtual objects that are associated with the real-world objects. A first device can track the position of a real-world object. When the real-world object moves out of a viewing area of the first device, a second device can use metadata defining physical characteristics of the real-world object shared by the first device to identify the real-world object as the real-world object comes into a viewing area of the second device. The second device can then maintain an association between the real-world object and the virtual objects as the real-world object moves, and share such information with other computers to enable the other computers to display the virtual objects in association with the real-world object even though they are not in direct view of an associated real-world object.

Abstract: The embodiments of the present invention provide training and construction methods and apparatus of a neural network for object detection, an object detection method and apparatus based on a neural network and a neural network. The training method of the neural network for object detection, comprises: inputting a training image including a training object to the neural network to obtain a predicted bounding box of the training object; acquiring a first loss function according to a ratio of the intersection area to the union area of the predicted bounding box and a true bounding box, the true bounding box being a bounding box of the training object marked in advance in the training image; and adjusting parameters of the neural network by utilizing at least the first loss function to train the neural network.

Abstract: This disclosure generally pertains to methods and systems for processing electronic data obtained from imaging or other diagnostic and evaluative medical procedures. Certain embodiments relate to methods for the development of deep learning algorithms that perform machine recognition of specific features and conditions in imaging and other medical data. Another embodiment provides systems configured to detect and localize medical abnormalities on medical imaging scans by a deep learning algorithm.

Abstract: Inspired by Shack Hartmann Wavefront Patterns, a device may obtain three dimensional images for use in authentication. Since such images can have high resolution, damage in, for instance, skin on a finger may be recorded and used as part of a temporary template image. In future authentication attempts, an aged version of the temporary template image may be used. Additionally, reference points on the damage may be employed when authenticating.

Abstract: A pulsed laser may illuminate a scene that is obscured by dense, dynamic and heterogeneous fog. Light may reflect back to a time-resolved camera. Each pixel of the camera may detect a single photon during each frame. The imaging system may accurately determine reflectance and depth of the fog-obscured target, without any calibration or prior knowledge of the scene depth. The imaging system may perform a probabilistic algorithm that exploits the fact that times of arrival of photons reflected from fog have a Gamma distribution that is different than the Gaussian distribution of times of arrival of photons reflected from the target. The probabilistic algorithm may take into account times of arrival of all types of measured photons, including scattered and un-scattered photons.

Abstract: An state determination system comprises an information acquiring portion that acquires an environment information, a movable body, an instruction portion that performs an action instruction to the movable body, and an estimation portion that estimates an abnormality of the object based on at least one of the information acquired by the information acquiring portion and the environment information acquired by the movable body. In case the estimation portion estimates the abnormality of the object, the instruction portion performs the action instruction for moving to the neighborhood of the object and requiring a response, to the movable body. At least one of the information acquiring portion and the movable body acquires the response state of the object to the action of the movable body instructed by the instruction portion. The state determination system comprises a determination portion that the abnormality of the object based on the acquired response state.

Abstract: An image processing device includes: a generating unit that generates, based on a distance image, two-dimensional distribution information indicating a two-dimensional distribution of an object, in which a distance in a horizontal direction, a distance in a depth direction, and a frequency value corresponding to the distances are related; and a labeling unit that conducts a labeling process by conducting search on the two-dimensional distribution information multiple times, detecting a pixel having the frequency value that is more than a predetermined threshold during each search, and assigning a label that is different in each times of search, wherein the labeling unit conducts a first labeling process by selecting a pixel having the frequency value that is more than the threshold from pixels that abut a pixel being searched in a search direction and assigning the label when the label is not assigned to the pixel selected.

Abstract: Disclosed are a method for processing an image and an apparatus therefor. Specifically, a method for decoding an image comprises: a step of deriving an initial block size information indicating information in which a first block, which is a basic unit for dividing an image, is divided into one or more initial blocks; a step of deriving a division information indicating information in which the initial block is divided into a plurality of second blocks in the initial block unit divided from the first block based on the initial block size information; and a step of decoding in a second block unit recursively divided from the initial block based on the division information.

Abstract: A writing preservation apparatus preserves, as image data, writing on a writing target medium in which writing is performed and erasing of writing in an arbitrary region is performed. The apparatus includes an acquisition unit that acquires time-series image data items at points of times for the writing target medium, a written region recognition unit that recognizes written regions in which writing is performed on the writing target medium at the points of time based on the image data items at the points of time which are acquired by the acquisition unit, and a preservation unit that preserves first image data at a first point of time in a case where the written region recognized based on the first image data in whole or part is absent in the written region recognized based on second image data at a second point of time subsequent to the first point of time.

Abstract: A method for diagnosis and evaluation of tooth decay comprises: locating in an x-ray image the contour of the dento-enamel junction (DEJ); measuring optical density along contours substantially parallel to and on either side of the DEJ contour; and calculating at least one decay value from the measured optical densities. A method for diagnosis and evaluation of periodontal disease comprises: measuring in an x-ray image a bone depth (BD) relative to the position of the cemento-enamel junctions (CEJs) of adjacent teeth; measuring bone density along a contour between the adjacent teeth; and calculating a crestal density (CD) value from the measured bone density. Calibration standards may be employed for facilitating calculation of the values. A dental digital x-ray imaging calibration method for at least partly correcting for variations of the optical densities of images acquired from the dental digital x-ray imaging system.

Abstract: There is disclosed a display panel and its driving method and a display device in the technical field of display. The display panel according to the disclosure includes a base substrate, a driving structure provided on the base substrate, a receiving structure provided above the driving structure, and a fingerprint detection module provided on the base substrate, wherein the driving structure is configured to create an ultrasonic signal, the receiving structure is configured to receive the ultrasonic signal reflected from a finger and transform the reflected ultrasonic signal into an electric signal which is input to the fingerprint detection module, and the fingerprint detection module is configured to determine fingerprint information from the electric signal output by the receiving structure.

Abstract: Method for detecting attempted fraud by using an artificial material during a biometric acquisition, including: illuminating, with lighting, a surface of an object having a texture, acquiring a first image of the surface; illuminating, with non-uniform lighting, the surface and acquiring a second image of the surface, the non-uniform lighting causing light to diffuse within the illuminated material at an intensity that varies according to a law that is a function of a first position parameter and is invariable along a second position parameter; computing a correction, varying along the first position parameter, that is to be locally applied to the first image to bring the amplitude of the texture on the first image substantially to the level of that on the second image; generating, on the basis of the correction, information relating to the artificial or non-artificial nature of the material.

Abstract: Images can be used to determine the size of an article of clothing matching the physical characteristics of a user. An image can include an article of clothing known to fit well or a representation of a body part, which can comprise the body part itself. Images can also include a reference item. Various techniques are used to determine one or more perspective distortions in the image based on analysis of the reference item and information known about the reference item. The one or more perspective distortions can be accounted for to determine physical characteristics of the article of clothing or the body part associated with the article of clothing. The physical characteristics can be used to determine the size of an article of clothing matching, or corresponding to, the physical characteristics.

Abstract: Systems and methods for automatically determining of garment sizing (e.g., fit) using a images including video images. The method may perform non-contact estimations of garment fit from visual (e.g., video) input by receiving an video of the subject's head and face and profile and determining a scaling factor from the subject's intraocular spacing and using this scaling factor when analyzing images of other body regions to determine garment sizing.

Abstract: An image scanning device including an image sensor, an operation unit, and circuitry. The circuitry acquires reference-image data and comparative-image data output from the image sensor when a predetermined time elapses after acquiring the reference-image data. The circuitry further divides each of the reference-image data and the comparative-image data into a plurality of image areas, extracts a feature point of a given pixel for each of the plurality of image areas of each of the reference-image data and the comparative-image data, compares pixel values of feature points in the same coordinate to determine a difference in pixel value, identifies an image area including at least one feature point having a difference in pixel value, and identifies a direction of flip of pages of the document based on the image area including the at least one feature point having the difference in pixel value.

Abstract: A pulse detection method resistant to changes in an imaging environment is provided. A biological information detection device includes an imaging unit that images reflected light from a target object and outputs a video signal including a plurality of wavelength components, a reflected light analysis unit that obtains a wavelength and an intensity of the reflected light from the video signal, a wavelength fluctuation detection unit that detects difference between the wavelength of the reflected light of each time and the wavelength of the reflected light of a time before each of the time, and a pulse detecting unit that detects a change in accordance with a time of the detected difference as a pulse.

Abstract: Some implementations of the systems and techniques described include a tattoo recognition system that is capable of improving the accuracy and efficiency associated with matching edge curves extracted from tattoo images, which are typically performed during a tattoo matching operation. The system can perform a matching operation in two stages—a feature extraction stage and a matching stage. In the first stage, the system extracts one or more edge curves from the tattoo image. In the second stage, the system performs matching using a two-step comparison that compares features of the extracted edge curves.

Abstract: Automatic detection of disease from analysis of echocardiographer findings in echocardiogram videos is provided. In various embodiments, a plurality of medical images containing embedded text are read. The plurality of medical images are clustered into a plurality of clusters. Medical images of a first cluster of the plurality of clusters are ranked based on the frequency of measurement names within the medical images of the first cluster. A candidate tabular template is generated indicative of a layout of measurement name/value pairs within the medical images of the first cluster. According to the candidate tabular template, optical character recognition is applied to one of the plurality of medical images of the first cluster to extract candidate measurements. The candidate tabular template and the candidate measurements are presented to a user.

Abstract: Embodiments of the present disclosure provide a method for capturing a fingerprint and associated products. The method includes determining a first luminance based on a currently running application and controlling light-emitting units for a first area to emit light with the first luminance. The method further includes capturing the fingerprint when the light with the first luminance illuminates the first area.