Abstract: A method includes: receiving sensor measurements from a pre-processing module, in which the sensor measurements include image data and inertial data for a device; transferring, using a processor, information derived from the sensor measurements, from a first set of variables associated with a first window of time to a second set of variables associated with a second window of time, in which the first and second windows consecutively overlap in time; and outputting, to a post-processing module, a state of the device based on the transferred information.

Abstract: A sensing read-out circuit includes an amplifier circuit that converts a charge output from a sensing line of a sensor into a first voltage, another amplifier circuit that converts a charge output from another sensing line into a second voltage, another amplifier circuit that generates a first amplified voltage by amplifying a difference between the first voltage and the second voltage, an analog-to-digital converter that converts the first amplified voltage into a digital signal, a first mixer that generates a second mixed signal by mixing the first digital signal and an in-phase clock signal, a second mixer that generates a second mixed signal by mixing the first digital signal and a quadrature-phase clock signal, a first filter that generates an in-phase signal by performing low-pass filtering on the first mixed signal, and a second filter that generates a quadrature-phase signal by performing low-pass filtering on the second mixed signal.

Abstract: A system and method for retrieving contact information based on image recognition searches is disclosed. A requestor takes a picture of a user or retrieves a storage image of a user and transmits the image to an image recognition module. The image recognition module identifies the user and determines whether the requestor can receive access to the user's contact information based on permission rules. For example, the permission rule includes a requirement that the user and the requestor be sufficiently related on a social graph generated by a social network application. The permission rules can also include a requirement that the requestor have a predetermined proximity to the image. Once the permission rules are satisfied, the image recognition module transmits the user's contact information to the requestor.

Abstract: According to one embodiment, a computer-implemented method is configured for building a classification and/or data extraction knowledge base using an electronic form. The method includes: receiving an electronic form having associated therewith a plurality of metadata labels, each metadata label corresponding to at least one element of interest represented within the electronic form; parsing the plurality of metadata labels to determine characteristic features of the element(s) of interest; building a representation of the electronic form based on the plurality of metadata labels; generating a plurality of permutations of the representation of the electronic form by applying a predetermined set of variations to the representation; and training either a classification model, an extraction model, or both using: the representation of the electronic form, and the plurality of permutations of the representation of the electronic form. Corresponding systems and computer program products are also disclosed.

Abstract: A method includes receiving, at a processor, a frame of input image data, generating at least one motion vector field between a first frame of input image data and an adjacent frame of input image data, refining the at least one motion vector field to provide refined motion vectors, temporally filtering a frame of input image data to produce a temporally filtered frame of image data, and generating a frame of interpolated image data using the temporally filtered frame of image data and the refined motion vectors.

Abstract: When making a diagnosis by synthetically taking into account the information obtained by preparing a plurality of samples using different staining methods or the like and sequentially observing the samples, a diagnostician must remember information about the plurality of samples. The present invention includes image storage means for storing a reference image obtained by photographing a predetermined stained sample of and a comparison image obtained by photographing another stained sample of substantially identical biological tissues, partial image creation means for detecting a structure of the biological tissue from the reference image, cutting out from the comparison image a partial image that contains the structure detected, and storing into partial image storage means the partial image in association with the structure and the comparison image, image output means for outputting a result image that includes the reference image and the partial image, and the partial image storage means.

Abstract: A fingerprint sensing device comprises a substrate and an array of sensor cells formed over the substrate. The sensor cells are divided into multiple groups. Each group is associated with a group-identifiable signal. The sensor cells in each group are configured to transmit the group-identifiable signal of the respective group and are further configured to simultaneously receive the group-identifiable signals transmitted by the sensor cells in other groups. The group-identifiable signals are orthogonal with respect to each other.

Abstract: An apparatus for detecting an error in a contour of a lesion includes an extracting unit configured to extract a contour of a lesion in each of a plurality of two-dimensional image frames that form a three-dimensional image, and an error determining unit configured to determine a presence or an absence of an error in a contour of a lesion in a target image frame of the two-dimensional image frames based on estimation information about the lesion in the target image frame and/or an energy value that corresponds to the contour of the lesion in the target image frame.

Abstract: Multi-sensor compressive imaging systems can include an imaging component (such an an RF, microwave, or mmW metamaterial surface antenna) and an auxiliary sensing component (such as an EO/IR sensor). In some approaches, the auxiliary sensing component includes a structured light sensor configured to identify the location or posture of an imaging target within a field of view of the imaging component. In some approaches, a reconstructed RF, microwave, or mmW image may be combined with a visual image of a region of interest to provide a multi-spectral representation of the region of interest.

Abstract: An object recognition ingestion system is presented. The object ingestion system captures image data of objects, possibly in an uncontrolled setting. The image data is analyzed to determine if one or more a priori know canonical shape objects match the object represented in the image data. The canonical shape object also includes one or more reference PoVs indicating perspectives from which to analyze objects having the corresponding shape. An object ingestion engine combines the canonical shape object along with the image data to create a model of the object. The engine generates a desirable set of model PoVs from the reference PoVs, and then generates recognition descriptors from each of the model PoVs. The descriptors, image data, model PoVs, or other contextually relevant information are combined into key frame bundles having sufficient information to allow other computing devices to recognize the object at a later time.

Abstract: A fingerprint identification circuit comprises multiple reading sub-circuits, and multiple fingerprint identification sub-circuits each column of fingerprint identification sub-circuits are connected with one reading sub-circuit, each fingerprint identification sub-circuit comprises a writing sub-circuit, a sensing sub-circuit and a output sub-circuit, the writing sub-circuit is connected with a scan signal input terminal; the sensing sub-circuit senses a fingerprint and transmits a sensing signal to the output sub-circuit; the output sub-circuit outputs the sensing signal upon the writing sub-circuit is turned off each fingerprint identification sub-circuit further comprises: a converting and amplifying sub-circuit provided between the sensing sub-circuit and the output sub-circuit, for converting the sensing signal into a current signal, amplifying the current signal and outputting it to the output sub-circuit, the reading sub-circuit is connected with the output sub-circuit for reading the sensing signal a

Abstract: An image decoding method, according to the present invention, includes the steps of: deriving an MPM candidate mode from neighboring blocks adjacent to a target block to be decoded; generating an MPM list using the MPM candidate mode derived from the neighboring blocks; and deriving an intra prediction mode for the target block to be decoded using the generated MPM list. According to the present invention, image compression efficiency can be improved.

Abstract: Methods and apparatus predict non-small cell lung cancer (NSCLC) recurrence using radiomic features extracted from digitized hematoxylin and eosin (H&E) stained slides of a region of tissue demonstrating NSCLC. One example apparatus includes an image acquisition circuit that acquires an image of a region of tissue demonstrating NSCLC, a segmentation circuit that segments a cellular nucleus from the image, a feature extraction circuit that extracts a set of features from the image, a tumor infiltrating lymphocyte (TIL) identification circuit that classifies the segmented nucleus as a TIL or non-TIL, a graphing circuit that constructs a TIL graph and computes a set of TIL graph statistical features, and a classification circuit that computes a probability that the region will experience NSCLC recurrence. The classification circuit may compute a quantitative continuous image-based risk score based on the probability or the image. A treatment plan may be provided based on the risk score.

Abstract: Disclosed are a fingerprint recognition sensor including: a light source positioned while being spaced apart on one surface of the substrate and irradiating light toward the substrate; and a light direction switching layer positioned between the substrate and the light source, having a thickness-direction cross-section having a right-angled triangular shape, and including multiple protrusions constituted by a first surface in which the light irradiated from the light source is incident and refracted, a second surface contacting the one surface of the substrate, in which the refracted light is transmitted toward the substrate, and a third surface vertical to the one surface of the substrate, and a mobile display device having the same.

Abstract: For assigning a binary label representing belonging to a target region or not to each pixel in an image: a predicted shape of the target region is set; a pixel group including N pixels is selected, where N is a natural number of 4 or more, which have a positional relationship representing the predicted shape; and an energy function is set, which includes an N-th order term in which a variable is a label of each pixel of the pixel group, so that a value of the N-th order term is at a minimum value when a combination of the labels assigned to the pixels of the pixel group is a pattern matching the predicted shape, and increases in stages along with an increase in a number of pixels to which a label different from the pattern is assigned. The labeling is performed by minimizing the energy function.

Abstract: A coin handling system performs a one or two-part coin handling and recognition process. In the first part of the two-part process, the system images bulk coins, determines the coin types or other attributes, and returns at least some of the coins to the bulk coin receptacle; in the second part, the system re-images the coins and uses the coin types or attributes determined in the first part to efficiently and economically perform machine recognition of attributes of the coins. The output is used to handle the coins and to determine a price to pay for the coins. The images are bright field images suitable for use by people.

Abstract: According to an aspect of the present disclosure, there is provided a method of image processing. The method comprises receiving image data comprising a set of feature vectors of a first dimensionality, the feature vectors corresponding to a class of objects. A variable projection is applied to each feature vector in the set of feature vectors to generate a set of projected vectors of a second dimensionality. The method then comprises processing the set of projected vectors to generate a model for the class of objects. A projection is applied to the model to generate an object classification model, of the first dimensionality, for the class of objects.

Abstract: An information processing apparatus, an information processing method, and a cell analysis system are provided. The information processing apparatus includes a processor configured to: determine a frequency feature value based on motion data from an image of a cell, and control displaying information associated with the frequency feature value, wherein the frequency feature value includes a power spectral density for each time range and each frequency band, and wherein the information associated with the frequency feature value is displayed in association with the each time range and the each frequency band.

Abstract: Methods, apparatus, and other embodiments associated with predicting non-small cell lung cancer (NSCLC) patient response to adjuvant chemotherapy therapy using radiomic features extracted from digitized hematoxylin and eosin (H&E) stained slides of a region of tissue demonstrating NSCLC. One example apparatus includes an image acquisition circuit that acquires an H&E image of a region of tissue demonstrating NSCLC pathology, a segmentation circuit that segments a region of interest (ROI) from the diagnostic radiological image, a feature extraction that extracts a set of discriminative features from the ROI, and a classification circuit that generates a probability that the ROI will experience NSCLC recurrence. The classification circuit may compute a quantitative continuous image-based risk score based on the probability or the image. A prognosis or treatment plan may be provided based on the quantitative continuous image-based risk score.

Abstract: An image abstraction engine is provided to characterize scenes like typically found in an urban setting. Specifically buildings and manmade structures have certain characteristic properties that may be abstracted and compressed in a manner that takes advantage of those characteristic properties. This allows for a more compact and computationally efficient abstraction and recognition.