Abstract: Examples disclosed herein relate to detecting change in a 3-dimensional (3D) view. The examples enable determining a first set of sparse local features from a first set of frames of an initial 3D scene; determining whether the initial 3D scene is different from a current 3D scene based on the first set of sparse local features; and providing information about any determined differences between the initial 3D scene and the current 3D scene.

Abstract: High-quality image and low radiation exposure are achieved without increasing man-hours and data amount to be held. A table of iterative correction parameters optimized in the representative imaging conditions is held and an iterative correction parameter optimized in the actual imaging conditions is determined from the iterative correction parameters held in the table. In addition to the parameter table, a reference weight is also held and is reflected to generate the iterative correction parameter for each pixel position.

Abstract: Described herein are methods and systems for texturing a three-dimensional (3D) model using photogrammetry. A sensor captures scans of a physical object, including related pose information, and color images corresponding to each scan. A computing device generates a 3D mesh of the physical object. The computing device preprocesses the color images to remove blurry images and detect textured regions of the object in each non-blurry image. The computing device optimizes the pose information for each color image by generating associations between the color images and vertices in the 3D mesh and classifying the vertices as textured or non-textured. The computing device generates texture coordinates for the 3D mesh by segmenting the mesh, parameterizing the segments, and packing the parameterized segments into a texture atlas. The computing device paint the texture atlas using the color images that have optimized pose information to generate a model having texture coordinates for each vertex.

Abstract: A method for capturing images of an individual to determine wellness for such individual, including establishing baseline physiological data for the individual, and baseline capture condition data for the individual; detecting and identifying the presence of the individual in the image capture environment; providing semantic data associated with the individual; capturing one or more images of the individual during a capture event and determining the capture conditions present during the capture event; using the event capture conditions, the baseline physiological data for the individual and the baseline capture condition data to determine the acceptability of event captured images; and using the acceptable images and the semantic data in determining the wellness of the individual.

Abstract: A camera is to capture an actual image of a target pattern. A calibration device is to render pixels in a synthetic image of the target pattern by tracing rays from the pixels to corresponding points on the target pattern based on model parameters for a camera. The calibration device is to also modify the model parameters to minimize a measure of distance between intensities of the pixels in the synthetic image and intensities of pixels in the actual image.

Abstract: A method for anatomical analysis and joint implant design. Embodiments provide users with the ability to anatomically analyze a single bone or a series of bones that exist in a database, evaluate surgical landmarks and axes, identify differences among specific characteristics of a given population, and modify existing implants or create new implant designs based on anatomical analyzes.

Abstract: A system, method, and computer program product for evaluating a conformance of sets of curves using curvature information from curve segments to identify conforming curve segments. These curve segments are evaluated for relative positional variations in a context of a cluster by triangulating corresponding points among the curve segments of the cluster. Little to no deviation between corresponding lengths in the clusters indicate a high probability of match. Confirmation may be done by a more rigorous pattern matcher based upon the conforming curve segments of a cluster.

Abstract: The present invention discloses a high resolution thin device for fingerprint recognition, it includes a transparent plate, an imaging component, an optical sensor and at least one light source; or a high resolution thin device for fingerprint recognition that includes plural transparent plates, plural imaging components, plural optical sensors and at least one light source. With the implementation of the present invention, the fingerprint recognition device provides the following advantageous effects: structural simplicity to improve ease of manufacture and low manufacturing costs; reduction of space occupation enabling further applications; suitable for applications that fills colloid between cover glass and optical sensor; and improving feature classification thus reduces recognition error.

Abstract: In various example embodiments, a system and method for determining an item that has confirmed characteristics are described herein. An image that depicts an object is received from a client device. Structured data that corresponds to characteristics of one or more items are retrieved. A set of characteristics is determined, the set of characteristics being predicted to match with the object. An interface that includes a request for confirmation of the set of characteristics is generated. The interface is displayed on the client device. Confirmation that at least one characteristic from the set of characteristics matches with the object depicted in the image is received from the client device.

Abstract: Apparatus and methods for video image post-processing for segmentation based interpolation. In one embodiment, a computerized apparatus is utilized in order to obtain a first frame of video data; segment one or more objects within the first frame of video data; obtain a second frame of video data; segment one or more objects within the second frame of video data; match at least a portion of the one or more objects within the first frame of video data with the one or more objects within the second frame of video data; compute the motion of the pixels for the matched portion of the one or more objects; compute the motion of pixels associated with a background image; and generate an interpolated frame of video data, the interpolated frame of video data residing temporally between the first frame of video data and the second frame of video data.

Abstract: A technique for modular high-speed video vibration analysis of a structure. An embodiment of a device for high-speed video vibration analysis comprises a camera arrangement configured to generate at least two high-speed video streams of the structure and a data analyzer unit, connected to the camera arrangement. The data analyzer unit comprises a processing unit configured to extract vibrational data of at least a portion of the captured structure by considering estimated deformations of at least a portion of the captured structure along a first plane and determined depth information of at least a portion of the captured structure along a second plane different from the first plane or along an axis included in the second plane.

Abstract: According to one embodiment, an electronic apparatus includes a hardware processor. The hardware processor converts a first character in a first image of images in which characters of languages are rendered, into a first character code by using dictionary data for a first language environment, converts the first character into a second character code by using dictionary data for a second language environment, causes a memory to store a pair of the first character code and a first area in the first image corresponding to the first character code, and causes the memory to store a pair of the second character code and a second area in the first image corresponding to the second character code.

Abstract: A system for determining bounding boxes includes the input interface and a processor. The input interface is configured to receive an image. The processor is configured to detect a line associated with connected components in the image; determine gap sizes within the line; determine a word structuring element size using the gap sizes; and determine bounding boxes for the line based at least in part on the word structuring element size.

Abstract: A fingerprint sensor for reinforcing an electric field and preventing electric interference between adjacent electrodes. The fingerprint sensor includes a plurality of sensor electrodes provided on a substrate, an insulating layer, and a discontinuous grid formed in the insulating layer. The discontinuous grid includes a plurality of walls that are arranged in a two-dimensional (2D) manner. The plurality of walls are electrically insulated from each other.

Abstract: An information processing apparatus includes a detecting unit, an extracting unit, a managing unit, and a deriving unit. The detecting unit detects an object from an image. The extracting unit extracts a feature amount of the object detected by the detecting unit. The managing unit manages an element in the object detected by the detecting unit in association with the feature amount of the object in the element. The deriving unit derives a reliability indicative of a certainty for identifying an object with respect to the feature amount of the element.

Abstract: In one embodiment, a method includes receiving training data, the training data including training video data representing video of a location in a quiescent state, training a neural network using the training data to obtain a plurality of metrics, receiving current data, the current data including current video data representing video of the location at a current time period, generating a reconstruction error based on the plurality of metrics and the current video data in the embedded space, and generating, in response to determining that the reconstruction error is greater than a threshold, a notification indicative of the location being in a non-quiescent state.

Abstract: A stem cell differentiation determination device includes an observation image acquisition unit that captures an image of an observation region including a stem cell in time series to acquire at least two observation images, a feature amount acquisition unit that acquires at least one feature amount of the stem cell for each observation image, a determination unit that determines whether or not the stem cell has been differentiated, on the basis of the feature amount, a change information acquisition unit that acquires information about a change in the feature amount between the observation images captured in time series or information about a change in a determination result from undifferentiation to differentiation between the observation images, and an output unit that outputs the information about a change in the feature amount or the information about a change in the determination result.

Abstract: The present invention relates to a viscosity measuring method. More particularly, the present invention relates to a viscosity measuring method comprising: (i) a step of acquiring an image of a droplet in a static state without vibration; (ii) a step of using a vibrator to vibrate the droplet, and acquiring an image of a dynamic state in which the droplet is maximally extended in a horizontal direction or maximally extended in a vertical direction; (iii) a step of obtaining the static curvature change rate and the dynamic curvature change rate of the interface of the droplet from the images acquired in steps (i) and (ii); and (iv) a step of substituting the ratio of the static curvature change rate to the dynamic curvature change rate of the droplet interface into an interaction equation compensating for the vibrator, so as to obtain the viscosity of the droplet.

Abstract: In a method of tracking an object, a plurality of images of a target object is obtained. A super-resolved image of the target object is calculated from the plurality of images. A further image of the target object is obtained. The further image is correlated with the super-resolved image, in order to identify the location of the target object in the further image.

Abstract: A method of extracting heart information from a body micro-movement is provided. The method includes a face tracking step, a frame difference averaging step, smoothing filtering step, and a sliding peak detection step.