Abstract: A capacitive fingerprint sensing module includes a flexible printed circuit board, a lower conductive adhesive layer, an upper conductive adhesive layer, and a positioning frame. The flexible printed circuit board has an upper surface and a lower surface. The upper surface has a finger pressing region and a first sensing layer. The lower surface has a second sensing layer. The lower conductive adhesive layer is formed on the second sensing layer and provided to cover second sensing electrodes mounted on the second sensing layer. The upper conductive adhesive layer is formed on the finger pressing region. The positioning frame has an opening facing upward and a slot. The flexible printed circuit board is inserted through the slot and embedded in the positioning frame. Accordingly, effects of conductivity enhancement and accuracy improvement of the capacitive fingerprint sensing module are produced.

Abstract: In a computer-implemented method and system for capturing the condition of a structure, the structure is scanned with a three-dimensional (3D) scanner. The 3D scanner generates 3D data. A point cloud or 3D model is constructed from the 3D data. The point cloud or 3D model is then analyzed to determine the condition of the structure.

Abstract: Systems, methods, and computer-readable media are disclosed for identifying when a subject is likely to be affected by a medical condition. For example, at least one processor may be configured to receive information reflective of an external soft tissue image of the subject. The processor may also be configured to perform an evaluation of the external soft tissue image information and to generate evaluation result information based, at least in part, on the evaluation. The processor may also be configured to predict a likelihood that the subject is affected by the medical condition based, at least in part, on the evaluation result information.

Abstract: The method of segmenting single neuron images with high-dynamic-range thresholds of the present invention includes (a) preparing a biological tissue sample containing neurons and performing imaging to this sample to obtain a three-dimensional raw neuroimage; (b) deleting voxels in the three-dimensional raw neuroimage with signal intensities below a first signal intensity threshold to obtain a first thresholded image; (c) tracing the first thresholded image to obtain a first traced image; (d) calculating a structural importance score of every voxel in the first traced image to obtain a first structural importance score of every voxel; (e) gradually increasing the signal intensity threshold and repeating (b), (c) and (d) n?1 times; (f) summing up all the n structural importance scores of every voxel; (g) deleting voxels with summed structural importance score smaller than a pre-determined value from the raw image to obtain the segmented single neuron.

Abstract: In one embodiment, a method includes receiving a digital image captured by a mobile device; and using a processor of the mobile device: generating a first representation of the digital image, the first representation being characterized by a reduced resolution; generating a first feature vector based on the first representation; comparing the first feature vector to a plurality of reference feature matrices; classifying an object depicted in the digital image as a member of a particular object class based at least in part on the comparing; and determining one or more object features of the object based at least in part on the particular object class. Corresponding systems and computer program products are also disclosed.

Abstract: The present disclosure provides a fingerprint image sensor and a method for optical wireless communications using the same. The fingerprint image sensor includes: a backlight plate; an image sensor unit, disposed above the backlight plate; and a protection layer, disposed above the image sensor substrate; wherein the fingerprint image sensor is configured to operate at least in a transmitting mode and a receiving mode, where in the transmitting mode, the backlight plate is turned on and configured to emit lights with different optical characteristics representing coded information, and in the receiving mode, the backlight plate is turned off and the image sensor unit senses external lights and convert the external lights to electric signals. The present disclosure further provides methods for transmitting and receiving information using the fingerprint image sensor. Accordingly, the fingerprint image sensor can work as a transceiver to realize optical wireless communications.

Abstract: A sensor arrangement for a forage harvester. The sensor arrangement includes a frame, a CCD or CMOS camera mounted to the frame in a first position, and a time-of-flight camera mounted to the frame in a second position. The CCD or CMOS camera is mounted to the frame in the first position such that, when a filling wagon is located with respect to the forage harvester in a filling position, a first image of at least a portion of the filling wagon is capturable by the first camera. The time-of-flight camera is mounted to the frame in the second position such that, when the filling wagon is located with respect to the forage harvester in the filling position, a second image of a segment of the portion is capturable by the second camera.

Abstract: A check image generator application generates a remote deposit capture RDC compatible check image. The RDC compatible check image is sent from a sender mobile device to a recipient mobile device. The RDC compatible check image may pass through a server and may be encrypted. The recipient mobile device receives the RDC compatible check image and forwards it to a financial institution for deposit.

Abstract: A check image generator application generates a remote deposit capture RDC compatible check image. The RDC compatible check image is sent from a sender mobile device to a recipient mobile device. The RDC compatible check image may pass through a server and may be encrypted. The recipient mobile device receives the RDC compatible check image and forwards it to a financial institution for deposit.

Abstract: A check image generator application generates a remote deposit capture RDC compatible check image. The RDC compatible check image is sent from a sender mobile device to a recipient mobile device. The RDC compatible check image may pass through a server and may be encrypted. The recipient mobile device receives the RDC compatible check image and forwards it to a financial institution for deposit.

Abstract: A mechanism is described for facilitating depth image dequantization at computing devices according to one embodiment. A method of embodiments, as described herein, includes detecting a digital image of an object, the digital image including pixels having associated pixel values contaminated by noise, and side information pertaining to confidence of a value acquired in each pixel. The method may further include measuring characteristics of noise in each pixel of the digital image, and a plurality of weights relating to one or more of the pixel values, the side information, and the noise characteristics. The method may further include computing a smart filter based on a combination of the plurality of weights, applying the smart filter to filter the digital image by reducing the noise in the digital image, and outputting the filtered digital image.

Abstract: There is provided an information processing system including a first control unit configured to associate handwriting action trajectory information indicating a user's handwriting action trajectory with meta information capable of being detected from an actual environment where the user's handwriting action is performed.

Abstract: A method for profiling a location of an image capture device in a region of interest. The method comprises acquiring an image captured by an image capture device. The method comprises acquiring a reported position and pose of the image capture device. The method comprises processing the captured image to detect an object in the captured image. The method comprises identifying a set of interest points characterizing the captured object. The method comprises generating a relative position and pose of the interest points based on dimensional information associated with the captured object. The method comprises computing an estimated position and pose of the image capture device to the object using the reported position and pose of the image capture device and the relative position of the interest points. The method comprises computing the estimated position and pose of the mobile imaging device based on the estimated distance.

Abstract: A medical image processing apparatus according to one embodiment includes obtaining circuitry, calculating circuitry, and transforming circuitry. The obtaining circuitry takes an expiration time phase or an inspiration time phase as a benchmark time phase and obtains a benchmark line structure, which is a line structure of a bronchus in a lung field, from a medical image at the benchmark time phase. The calculating circuitry calculates a motion amount between a component depicted in the medical image at the benchmark time phase and a component depicted in a medical image at at least one other time phase than the benchmark time phase. The transforming circuitry transforms the benchmark line structure based on the motion amount to obtain an estimated line structure, which is estimated as a line structure at the at least one other time phase.

Abstract: Among other things, one or more techniques and/or systems are described for correcting projection data generated from a computed tomography (CT) examination of an object and/or for computing or updating a CT value of the object from the projection data. An image generator is configured to generate a CT image of an object under examination. Using this CT image, a set of actions are performed to correct projection data from which the CT image was generated and/or to update a CT value of one or more voxels within the CT image. In this way, the projection data and/or CT image is adjusted to reduce image artifacts and/or otherwise improve image quality and/or object detection.

Abstract: Systems, methods, and computer program products to perform an operation comprising computing a saliency value for a video based on saliency values a set of pixels in each frame of the video, computing, for the video, an expected value for a metric by a predictive algorithm based on the saliency value for the video, and outputting the expected value for the metric as an indication of an expected outcome for the metric achieved by the video.

Abstract: A system, method and virtual tool for size estimation of in-vivo objects includes receiving and displaying a two-dimensional image of in-vivo objects obtained by in-vivo imaging device; receiving indication of a selected area representing a point of interest from the user via a user input device; estimating depth of a plurality of image pixels around the selected area; calculating three-dimensional coordinates representation of the plurality of image points, based on the estimated depths; casting a virtual tool of a known size onto the three-dimensional representation; and projecting the virtual tool onto the two-dimensional image to create a cursor having a two-dimensional shape on the displayed image.

Abstract: A depth image processing method and a depth image processing system are provided. The depth image processing method includes: capturing a first image and a second image; performing a feature comparison to acquire a plurality of feature pairs between the first image and the second image, wherein each of the feature pairs includes a feature in the first image and a corresponding feature in the second image; computing disparities of the feature pairs; computing a depth image through the first image and the second image when the disparities of the feature pairs are all smaller than a disparity threshold.

Abstract: A method and a system automatically evaluate the volume of penumbra mismatch during an exam. The method includes performing a magnetic resonance (MR) diffusion-weighted imaging of the brain for acquiring native diffusion images of brain slices. A MR perfusion-weighted imaging of the brain is performed for acquiring native perfusion images of the brain slices. For each brain slice, b0 native diffusion image of the brain slice are segmented to create a contour mask. For each brain slice, a necrosis and cerebrospinal fluid mask (hereafter NC mask) is created from an ADC map of the brain slice. The contour mask and the NC mask of a same slice are fused. For each brain slice, all native perfusion images acquired for the slice are aligned with the NC mask obtained for the slice and the NC mask is fused with each native perfusion image for obtaining a perfusion image.

Abstract: A method and system for performing gesture recognition of a vehicle occupant employing a time of flight (TOF) sensor and a computing system in a vehicle. An embodiment of the method of the invention includes the steps of receiving one or more raw frames from the TOF sensor, performing clustering to locate one or more body part clusters of the vehicle occupant, calculating the location of the tip of the hand of the vehicle occupant, determining whether the hand has performed a dynamic or a static gesture, retrieving a command corresponding to one of the determined static or dynamic gestures, and executing the command.