Abstract: There is provided a capacitive fingerprint sensing device for sensing a fingerprint pattern of a finger, said capacitive fingerprint sensing device comprising: a protective top layer to be touched by said finger; a first metal layer comprising a two-dimensional array of sensing structures arranged underneath said top layer; a second metal layer, arranged underneath said first metal layer, comprising a plurality of conductive structures a dielectric layer arranged between the first and second metal layers to electrically insulate the first metal layer from the second metal layer, the dielectric layer comprising a low-k material; and readout circuitry arranged underneath said second metal layer and coupled to each of the electrically conductive sensing structures by means of via connections to receive a sensing signal indicative of a distance between said finger and said sensing structure. There is also provided a method for manufacturing such a device.

Abstract: Systems and methods for detecting, decoupling and quantifying unresolved signals in trace signal data in the presence of noise with no prior knowledge of the signal characteristics (e.g., signal peak location, intensity and width) of the unresolved signals. The systems and methods are useful for analyzing any trace data signals having one or multiple overlapping constituent signals and particularly useful for analyzing data signals which often contain an unknown number of constituent signals with varying signal characteristics, such as peak location, peak intensity and peak width, and varying resolutions. A general signal model function is assumed for each unknown, constituent signal in the trace signal data. In a first phase, the number of constituent signals and signal characteristics are determined automatically in a parallel fashion by executing multiple simultaneous evaluations iteratively starting with an initial set of trial signals.

Abstract: Techniques are disclosed that involve face detection. For instance, face detection tasks may be decomposed into sets of one or more sub-tasks. In turn the sub-tasks of the sets may be allocated across multiple image frames. This allocation may be based on a multiple layer, quad-tree approach. In addition, face tracking tasks may be performed.

Abstract: A computer-based system and method for taking clarity measurements of a gem, and a computer-readable medium having computer-executable instructions, are provided and include receiving a pixilated image of a gem and identifying pixels representing an inclusion. The method and medium further include determining characteristics of the inclusion as a function of the pixels representing the inclusion, and providing a clarity grade based upon the determined characteristics. Also provided is a method for mapping a gem, and a computer-readable medium having computer-executable instructions, which include receiving a pixilated image of a gem having facet edges, and identifying pixels representing the facet edges. The method and medium further include generating a diagram of the gem, such that the diagram is a function of the pixels representing the facet edges, and superimposing the diagram onto the pixilated image.

Abstract: Methods and systems are presented for automatic image display systems and methods with looped autoscrolling or step scrolling modes (or both). Data configurations are also presented that allow an efficient arrangement of palettes that boosts autoscrolling performance and improves the users' experience without the need for major hardware enhancements.

Abstract: A first image data, binarized with a first threshold, represent a first image corresponding to a first portion of a specific image. A second image data, binarized with a second threshold different from the first threshold, represent a second image corresponding to a second portion of the specific image. A first area, which is extracted from the first image, includes pixels with a first color. The first color corresponding to a color of an outline of a hole image in the specific image. A second area, which is extracted from the second image, includes pixels with the first color. The first area and the second area are determined as a specific area corresponding to the hole image.

Abstract: A row of V-shaped grooves is formed in the bottom of each of imaging trays which temporarily hold a dose of drug. After drugs are inserted into the imaging tray, the imaging tray is vibrated to remove the overlap between the drugs corresponding to a dose and to correct the posture of the drugs using a first inclined surface and a second inclined surface of the V-shaped groove. Two cameras are provided so as to face the first inclined surface and the second inclined surface of the V-shaped groove, respectively, and capture the images of the drugs which have stable postures that have been corrected on the V-shaped grooves, in two directions. The first and second images of the drugs captured in two directions are processed to accurately acquire drug information including at least outward appearance information of the drugs.

Abstract: A feature point is extracted from an input image including an image region for which depth values of pixels change consecutively. A transformation that normalizes depth values of pixels of a vicinity of the feature point with respect to a region of at least a portion of the input image is set as a normalization transformation, and an image for a feature amount calculation is generated by performing the normalization transformation on a pixel position of the feature point. A feature amount is calculated from the image for the feature amount calculation.

Abstract: The disclosure includes a method that receives a real-time image of a road from a camera sensor communicatively coupled to an onboard computer of a vehicle. The method includes dividing the real-time image into superpixels. The method includes merging the superpixels to form superpixel regions. The method includes generating prior maps from a dataset of road scene images. The method includes drawing a set of bounding boxes where each bounding box surrounds one of the superpixel regions. The method includes comparing the bounding boxes in the set of bounding boxes to a road prior map to identify a road region in the real-time image. The method includes pruning bounding boxes from the set of bounding boxes to reduce the set to remaining bounding boxes. The method may include using a categorization module that identifies the presence of a road scene object in the remaining bounding boxes.

Abstract: A speed calculating device calculates the speed of an object around a moving body and includes: an image detection unit that captures an image of the surroundings of the moving body and detects the object from the captured image; and a speed calculation unit that calculates the speed of the object, using a moving body speed indicating the speed of the moving body and an image speed, which indicates the speed of the object and is calculated from the image, at a ratio corresponding to a distance from the moving body to the object. The speed calculation unit calculates the speed of the object using the moving body speed and the image speed such that the ratio of the moving body speed increases as the distance to the object increases and the ratio of the image speed increases as the distance to the object decreases.

Abstract: It is determined whether the type of drug inserted into a packaging machine is correct, on the basis of the dispensing information of the drug to be packaged and the drug type information of the drug to be inserted into the packaging machine. Number-by-appearance information indicating the number of drugs for each outward appearance which are packaged in each packet is acquired. The image of each drug corresponding to each dose is captured. The number of drugs for each outward appearance which are packaged in each packet is counted on the basis of the captured image of the drugs. It is determined whether the number of drugs for each outward appearance is correct, on the basis of the number-by-appearance information and the counting result of the number-by-appearance counting unit.

Abstract: A medical toilet with fingerprint reading handles is disclosed. The handles extend from a side surface of a seat on the medical toilet allowing a toilet seat user to use the fingerprint reader while sitting on the medical toilet. The handles enable authentication of a user and loading of specific medical toilet functionality associated with the authenticated user. The fingerprint readers are also used to determine cardiac functions of the user in addition to authentication of the user. The handles may be retractable and may include UV sanitation.

Abstract: Systems, methods and computer-readable storage mediums relate to generating an image that includes functional, anatomical, and physiological images. The generated image may be an integrated image based on the functional image on which the anatomical and physiological images are mapped. The generated image may indicate more than one location of optimal lead placement. The generated image may be useful in pre-planning cardiac intervention procedures.

Abstract: An image recognition apparatus is provided which comprises a first extracting means for extracting, from every registration image previously registered, a set of registration partial images of a predetermined size, and a second extracting means for extracting, from an input new image, a set of new partial images of a predetermined size. The apparatus further comprises a discriminating means for discriminating an attribute of the new partial image based on a rule formed by dividing the set of the registration partial images extracted by the first extracting means, and a collecting means for deriving a final recognition result of the new image by collecting discrimination results by the discriminating means at the time when the new partial images as elements of the set of the new partial images are input.

Abstract: Various embodiments of a method and system for capturing and utilizing item attributes are described. Various embodiments may include a mobile image capture apparatus, which may include a computer system configured to execute an image capture application. The image capture application may instruct an agent to capture an image of an item label. A data extraction component may be configured to process the images captured by the mobile image capture apparatus. For a given captured image, the data extraction component may in various embodiments be configured to perform OCR to determine one or more strings of characters from the image. The data extraction component may be further configured to determine whether one or more patterns match a determined string of characters. In response to the detection of a particular pattern matching a particular string of characters, the data extraction component may extract and store an attribute of the corresponding item.

Abstract: An image processing device includes a processor, and the processor acquires a captured image that has been captured using an image sensor, the image sensor including a multi-band color filter array in which color filters that respectively correspond to four or more bands are arranged in an array, generates a low-noise reference image subjected to a noise reduction process as a reference image that is used for an interpolation process that is performed on pixel values of the captured image, and performs the interpolation process on a band basis based on the generated low-noise reference image to generate an interpolated image in which pixel values of missing pixels are interpolated.

Abstract: A capacitive image sensor and a method for running the capacitive image sensor are disclosed. The capacitive image sensor includes a number of capacitive sensing elements, forming an array, each capacitive sensing element for transforming a distance between a portion of a surface of an approaching finger and a top surface thereof into an output voltage, wherein a value of the output voltage is changed by a driving signal exerted on the finger; an A/D converter, for converting the output voltage into a number and outputting the number; and a signal source, for providing the driving signal to the finger.

Abstract: A three-dimensional convolutional neural network may include a preliminary layer group, one or more intermediate layer groups, a final layer group, and/or other layers/layer groups. The preliminary layer group may include an input layer, a preliminary three-dimensional padding layer, a preliminary three-dimensional convolution layer, a preliminary activation layer, a preliminary normalization layer, and a preliminary downsampling layer. One or more intermediate layer groups may include an intermediate three-dimensional squeeze layer, a first intermediate normalization layer, an intermediate three-dimensional padding layer, a first intermediate three-dimensional expand layer, a second intermediate three-dimensional expand layer, an intermediate concatenation layer, a second intermediate normalization layer, an intermediate activation layer, and an intermediate combination layer.

Abstract: One or more system, apparatus, method, and computer readable media is described below for conveyance of hidden image data between a display and a camera. In some embodiments, modulating a display pixel refresh rate a predetermined amount relative to a target camera frame rate conveys hidden image data. In further embodiments, a camera module is employed to detect one or more changes in state and/or logic level associated with the pixel refresh rate modulation. The logic levels are then decoded to deduce the hidden image data. In some embodiments, a visually perceptible representation of the hidden image data is then output to a output panel. For example, in one exemplary embodiment the hidden image data includes a pixel value indicative of a color that is to be output to one or more pixel of a camera viewer.

Abstract: A method for characterizing material in which a surface is formed, by analysis of speckles generated on the surface by a coherent light beam by performing the computation of an autocorrelation function of the light intensity on the image and computation of the value of at least one criterion set up from said function, setting up an autocorrelation matrix of the light intensity of the image, computation of the discrete cosine transform of said matrix, and computation of the value of a characterization criterion such as the average on the image of the matrix trace obtained by the discrete cosine transform of the autocorrelation matrix, and computation of the value of at least one representative criterion of a phase shift distribution of the light beams diffused by the surface, said computation comprising computation of a wavelet transform of the image, and computation of the value of at least one criterion from the following group: average of the phases of the wavelet coefficients on the image, or standard devi