Abstract: A dynamic analysis system includes an imaging unit, an attenuation process unit and an analysis unit. The imaging unit images a dynamic state of a subject, thereby generating a plurality of frame images showing the dynamic state of the subject. The attenuation process unit performs an attenuation process to attenuate an image signal component of a product in the frame images. The analysis unit analyzes the dynamic state of the subject based on the frame images after the attenuation process.

Abstract: Example systems and methods are disclosed for determining the direction of an actor based on image data and sensors in an environment. The method may include receiving point cloud data for an actor at a location within the environment. The method may also include receiving image data of the location. The received image data corresponds to the point cloud data received from the same location. The method may also include identifying a part of the received image data that is representative of the face of the actor. The method may further include determining a direction of the face of the actor based on the identified part of the received image data. The method may further include determining a direction of the actor based on the direction of the face of the actor. The method may also include providing information indicating the determined direction of the actor.

Abstract: A wearable device and method are provided for reporting the time based on a wrist-related trigger. In one implementation, a wearable apparatus for providing time information to a user includes a wearable image sensor configured to capture real-time image data from an environment of a user of the wearable apparatus. The wearable apparatus also includes at least one processing device programmed to identify in the image data a wrist-related trigger associated with the user. The processing device is also programmed to provide an output to the user, the output including the time information, based on at least the identification of the wrist-related trigger.

Abstract: The invention relates to a method for authenticating an optically variable security element (1), in particular a diffractive security element, with the steps: a) capturing an image sequence with at least one individual image of the security element (1) by means of a sensor (31), in particular a hand-held device (3), preferably a smartphone, tablet or a PDA; b) checking whether at least one predetermined item of optical information is present in at least one individual image of the image sequence.

Abstract: An assembled group image is generated from subject images. Each of the subject images is associated with height data for the subject in the image. The height data is used to position the subject images in the assembled group image to provide a natural appearance. Shadows can also be added to the assembled group image.

Abstract: Systems and methods are provided for assessing patient blood flow using video image processing. According to one aspect, a method of analyzing at least one blood flow characteristic of a patient includes capturing a video including a plurality of frames of an arterio-venous (AV) fistula on the patient; amplifying motion in the video to produce a motion-amplified video; determining a difference in intensity between consecutive frames in the motion-amplified video to produce a time-function of an amplitude of the optic flow representing movement in an area of interest on the patient; and determining the at least one blood flow characteristic of the patient based on the time-function.

Abstract: An image of a physical environment is acquired that comprises a plurality of pixels, each pixel including a two-dimensional pixel location in the image plane and a depth value corresponding to a distance between a region of the physical environment and the image plane. For each pixel, the two dimensional pixel location and the depth value is converted into a corresponding three-dimensional point in the physical environment defined by three coordinate components, each of which has a value in physical units of measurement. A set of edge points is determined within the plurality of three-dimensional points based, at least in part, on the z coordinate component of the plurality of points and a distance map is generated comprising a matrix of cells. For each cell of the distance map, a distance value is assigned representing a distance between the cell and the closest edge point to that cell.

Abstract: A distance measurement device including a pixel array and a cover layer is provided. The cover layer is covered on the pixel array. The cover layer includes a first cover pattern covering on a first area of a plurality of first pixels and a second cover pattern covering on a second area of a plurality of second pixels. The first area and the second area are rectangles of mirror symmetry along a first direction.

Abstract: The present invention pertains to a method for image-assisted navigation, wherein an imaging specification for imaging a point in a three-dimensional system of coordinates in a point in a two-dimensional system of coordinates is determined, wherein a location of the imaging device is detected, and wherein the location of the imaging device is displayed in the two-dimensional reference image (RB).

Abstract: The present disclosure discloses a method and an apparatus for generating an image filter. The method includes receiving a first image that is selected with a specific imaging effect desired for the image filter, generating a group of images corresponding to the first image, wherein the group of images comprises at least a second image of a common structure characteristic with the first image and without the specific imaging effect, calculating a mapping relationship for transforming the group of images to the first image and storing the mapping relationship to be used as the image filter to generate the specific imaging effect on other images.

Abstract: Various features described herein may include ways of processing multiple images to determine whether any duplicates are among the multiple images. A hashing algorithm may be used to create a hash key of an image. Multiple hash keys corresponding to multiple images may be compared to determine whether those images are duplicate images. A root mean square algorithm may be used to further identify whether multiple images are duplicate images. An image variation engine, which uses intensity coding, may be used to display differences between images. For example, similar areas in images may be drawn with low intensity or high opacity, while different areas in images may be drawn with high intensity or low opacity.

Abstract: Embodiments of the present invention seek to provide an accurate way to measure the length of a fish. Some embodiments of the present invention propose utilizing a known length of a marker within a camera view or picture to determine the length of the fish also shown in the same camera view or picture. This determination could be performed in real-time or later remotely. Further, the measurement of the length of the fish is reliable because it is not dependent on a zoom value or angle of the camera and there is no required measurement device. Further, the technique is easy to use and can be performed with a camera phone or tablet.

Abstract: A method of image-based quantification for allergen skin reaction includes imaging an area of skin that has been subject to a skin-prick test to produce one or more images of the area. The method includes identifying regions of wheal and/or flare in the one or more images of the area and quantifying weal and/or flare indicators based on the regions identified. The method also includes outputting results of the quantified wheal and/or flare indicators indicative of quantified allergen skin reaction.

Abstract: An image acquisition unit (2020) acquires an analysis image. The analysis image is an image in which a plurality of cell nuclei in a lesion of a target person are captured. A feature-value calculation unit (2040) calculates the feature-value relating to the cell nuclei from the analysis image. An evaluation function acquisition unit (2060) acquires an evaluation function from an evaluation function storage unit (10). The evaluation function is a function with which prediction information is calculated based on the feature-value. The prediction information generation unit (2080) generates prediction information relating to a target person based on a feature-value, which has been calculated from an analysis image, and an evaluation function which has been acquired by the evaluation function acquisition unit (2060). The prediction information is information indicating a prediction of a prognosis of a disease of the target person or a prediction of malignancy of a disease of the target person.

Abstract: A system that incorporates teachings of the subject disclosure may include, for example, a processor that can detect an event, access location information for a group of mobile communication devices that are each automatically capturing images, and identify a subset of the group of mobile communication devices that are in proximity to the event based on the location information. The processor can provide first image analysis criteria to the subset of the group of mobile communication devices without providing the first image analysis criteria to remaining devices of the group of mobile communication devices where the first image analysis criteria includes first characteristics associated with an object. The processor can receive a first target image that includes the object from a first mobile communication device of the subset of the group of mobile communication devices. Other embodiments are disclosed.

Abstract: Tracking hand or body pose from image data is described, for example, to control a game system, natural user interface or for augmented reality. In various examples a prediction engine takes a single frame of image data and predicts a distribution over a pose of a hand or body depicted in the image data. In examples, a stochastic optimizer has a pool of candidate poses of the hand or body which it iteratively refines, and samples from the predicted distribution are used to replace some candidate poses in the pool. In some examples a best candidate pose from the pool is selected as the current tracked pose and the selection processes uses a 3D model of the hand or body.

Abstract: Coding circuitry may implement an indexed set of color values that stores color values for a neighbor pixel group. The coding circuitry may obtain a current pixel group for coding. The coding circuitry may code the current pixel group using the indexed set of color values when an indication that there is a compression advantage to coding using the indexed set of color values is present within an input stream. When the indication is not present, the coding circuitry may code the current pixel group using another coding technique.

Abstract: A method for processing X-ray image data comprises: receiving sum image data (28) and difference image data (30), wherein the sum image data (28) and the difference image data (30) comprise intensity information of X-rays (18) of two different energies passing through an object (20), the sum image data (28) is based on a sum intensity of the two different energies and the difference image data (30) is based on a difference intensity of the two different energies; partitioning the difference image data (30) into a low frequency range (32) and a high frequency range (34); and generating low noise image data (36) by replacing the high frequency range (32) of the difference image (30) with a high frequency range based on the sum image data (28).

Abstract: Provided are a CT-image processing apparatus and a method which can remove noise caused by one of a heartbeat and a breathing beat and extract only an accurate periodic motion by the other one. A CT-image processing apparatus 5 that processes projection data in which an animal is captured as a subject at each time by an X-ray CT apparatus includes a breathing beat threshold specification unit 36a to specify a lower limit of a breathing beat frequency from a feature amount waveform within a ROI for breathing beat synchronization in a series of projection data, a heartbeat threshold specification unit 37a to specify a lower limit of a heartbeat frequency from a feature amount waveform within a ROI for heartbeat synchronization in the series of projection data, a breathing beat extraction unit 36b to extract a breathing beat waveform using a band-pass filter defined by the lower limit of the breathing beat frequency and the lower limit of the heartbeat frequency.

Abstract: The invention discloses a four-dimensional code, an image identification system and an image identification method based on the four-dimensional code, a retrieval system and a retrieval method. All the conceives of the invention are mainly based on the four-dimensional code which includes an identification image and a group of recognition data corresponding to the identification image, wherein the identification image includes a true color image, a two-dimensional code, a color overlaid on the two-dimensional code, and an ID No., and the true color image, the two-dimensional code, the color overlaid on the two-dimensional code and the ID No. have same or corresponding indexes. Data corresponding to the four-dimensional code is stored through a server, and the four-dimensional code or the identification image is scanned during identification or retrieval, so that corresponding data can be retrieved through image identification processing, and returned to a mobile terminal.