Abstract: A capacitance detecting device for fingerprint identification and a fingerprint identification apparatus are provided. The device includes a conductive border; a detecting screen, comprising: a plurality of detecting units, in which each detecting unit includes: a first conductive layer, a second conductive layer, a third conductive layer and a fourth conductive layer; a detecting module, configured to charge a sensing capacitance between the first conductive layer and a finger in contact with the detecting screen and a feedback capacitance between the first conductive layer and the second conductive layer at a sampling stage, to control electric charges of the sensing capacitance and the feedback capacitance to transfer to an integrating capacitance between the third conductive layer and the fourth conductive layer at an integral stage, to measure a voltage variation of the integrating capacitance at the integral stage and to calculate the sensing capacitance according to the voltage variation.

Abstract: A device, system, and method of detecting counterfeit articles are provided. The method includes receiving article identifying information associated with a test article, using the article identifying information to retrieve an authentic article image associated with the test article from an image storage database, scanning the test article to capture one or more images of the test article under different wavelength illuminations, and displaying the one or more test article images and the authentic article image to allow comparison of the test article and the associated authentic article. Additionally, multiple wavelength emitting elements may be located within an image-capturing device, to provide alternate illuminations of the test article, allowing alternating capture of images highlighting different security features for providing a superimposed image. A system of counterfeit article detection is also provided.

Abstract: A system can include a model to represent a volumetric deformation of a brain corresponding to brain tissue that has been displaced by at least one of disease, surgery or anatomical changes. A fusion engine can perform a coarse and/or fine fusion to align a first image of the brain with respect to a second image of the brain after a region of the brain has been displaced and to employ the deformation model to adjust one or more points on a displacement vector extending through a displaced region of the brain to compensate for spatial deformations that occur between the first and second image of the brain.

Abstract: Systems and methods for sign language recognition are described to include circuitry to detect and track at least one hand and at least one finger of the at least one hand from at least two different locations in a room, generate a 3-dimensional (3D) interaction space based on the at least two different locations, acquire 3D data related to the at least one detected and tracked hand and the at least one detected and tracked finger, extract 3D features associated with the at least one detected and tracked hand and the at least one detected and tracked finger, analyze a relevance metric related to the extracted 3D features, classify at least one pattern from each of the at least two different locations based on a fusion of data outputs by the circuitry, and generate a recognized sign language letter based on the fusion of the data outputs.

Abstract: An image data processor (106) includes a structural image data processor (114) that employs a multi-structure atlas to segment a region of interest from structural image data that includes tissue of interest and that segments the tissue of interests from the region of interest. The image data processor further includes functional image data processor (116) that identifies the tissue of interest in functional image data based on the segmented tissue of interest. An image data processor includes a multi-structure atlas generator (104) that generates a multi-structure atlas. The multi-structure atlas physically maps structure to tissue of interest such that locate the structure in structural image data based on the multi-structure atlas localizes the tissue of interest to the region of interest.

Abstract: Bitmap compression for fast searches and updates is provided. Compressing a bitmap includes receiving a bitmap to compress, and reading the bitmap to determine a value of a bit location for all bits in the bitmap. In one embodiment, a compressed bitmap is created by encoding a variable number of bytes to represent a distance between adjacent 1s in the uncompressed bitmap. In another embodiment, a compressed bitmap is created by representing a distance between adjacent 1s in the uncompressed bitmap using a plurality of bits, and encoding a marker word to indicate the number of bits used to represent the distance.

Abstract: Provided is an image processing device including a selection section configured to select, from a plurality of transform units with different sizes, a transform unit used for inverse orthogonal transformation of image data to be decoded, a generation section configured to generate, from a first quantization matrix corresponding to a transform unit for a first size, a second quantization matrix corresponding to a transform unit for a second size from a first quantization matrix corresponding to a transform unit for a first size, and an inverse quantization section configured to inversely quantize transform coefficient data for the image data using the second quantization matrix generated by the generation section when the selection section selects the transform unit for the second size.

Abstract: An apparatus and method for computed tomography (CT) imaging to obtain an image from gated projection data, such as electrocardiographic gated projection data used in cardiac CT. The image reconstruction is performed using an iterative reconstruction method to minimize a cost function including a data-fidelity term (e.g., a system-matrix term) and a regularization term. The system-matrix term includes a weighted inner-product of the system-matrix equation, wherein the weighting matrix includes weighting values to correct the unequal data redundancy of the gated projection data.

Abstract: Certain aspects of an apparatus and method for automatic ER/PR scoring of tissue samples may include for determining a cancer diagnosis score comprising identifying a positive stained nucleus in a slide image of the tissue sample, identifying a negative stained nucleus in the slide image, computing a proportion score based on number of the positive stained nucleus identified and number of the negative stained nucleus identified and determining the cancer diagnosis score based on the proportion.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for facial recognition using fractal features are disclosed. In one aspect, a method includes the actions of accessing data encoding a facial image, the facial image including a face. The actions further include generating a hierarchical graphical model of the face in the facial image, the hierarchical graphical model including more than nodes from at least one level, each level approximating the face within a contour. The actions further include applying a bank of filters to the face at a particular node, each filter spanning more than one scale and at least one direction. The actions further include analyzing filter responses from the bank of filters applied at each direction to obtain a similarity measure that consolidates filter responses from filters applied at more than one scale. The actions further include generating a vector representation.

Abstract: Techniques for providing image search templates are provided. An image search template may be associated with an image search query to aid the user in capturing an image that will be appropriate for processing the search query. The template may be displayed as an overlay during an image capturing process to indicate an appropriate image capturing pose, range, angle, or other view characteristics that may provide more accurate search results. The template may also be used in the image search query to segment the image and identify features relevant to the search query. Images in an image database may be clustered using characteristics of the images or metadata associated with the images in order to establish groups of images from which templates may be derived. The generated templates may be provided to users to assist in capturing images to be used as search engine queries.

Abstract: The method comprises: a) receiving a plurality of imaging signals of the object over a period of time; b) measuring the signal intensity in each of the plurality of imaging signals corresponding to a point on the object; and c) curve fitting the measured signal intensity of the point on the object to a bi-exponential function comprising a first and a second exponential term, the first exponential term representing the decrease in concentration of the contrast agent which is free over time and the second exponential term representing a decrease in concentration of the contrast agent which is retained on the object over time.

Abstract: A method of sensing depth using an RGB camera. In an example method, a color image of a scene is received from an RGB camera. The color image is applied to a trained machine learning component which uses features of the image elements to assign all or some of the image elements a depth value which represents the distance between the surface depicted by the image element and the RGB camera. In various examples, the machine learning component comprises one or more entangled geodesic random decision forests.

Abstract: The present invention provides an apparatus for detecting presence or otherwise of an item comprising at least two regions having different optical characteristics, said apparatus comprising: an emitter operative to illuminate a measuring region of said apparatus with electromagnetic radiation; and a detector located and operative to receive electromagnetic radiation reflected from said measuring region of said apparatus and operative to output a signal corresponding to a measured characteristic of said electromagnetic radiation reflected from said measuring region, wherein said apparatus is operative to compare said measured characteristic with a set of pre-defined characteristics, and further wherein if said measured characteristic is consistent with at least one of said pre-defined characteristics, the apparatus is operative to output a signal indicative of presence or otherwise of one of said at least two regions of said item in said measuring region.

Abstract: Provided is an image processing device including a selection section configured to select, from a plurality of transform units with different sizes, a transform unit used for inverse orthogonal transformation of image data to be decoded, a generation section configured to generate, from a first quantization matrix corresponding to a transform unit for a first size, a second quantization matrix corresponding to a transform unit for a second size from a first quantization matrix corresponding to a transform unit for a first size, and an inverse quantization section configured to inversely quantize transform coefficient data for the image data using the second quantization matrix generated by the generation section when the selection section selects the transform unit for the second size.

Abstract: A method for applying a filter component for an analytical tomographic reconstruction technique, e.g. filtered backprojection, used in tomographic comprises providing an algebraic reconstruction algorithm for reconstructing a spatial representation of a volume of interest from a projection data set. It thereby takes into account a geometry of the tomographic imaging. The method also comprises applying the algebraic reconstruction algorithm to a plurality of virtual projection data sets—corresponding with a basis vector of a basis for the projection space—to produce a plurality of reconstructed spatial representations and determining the filter component using the plurality of reconstructed spatial representations, and applying the filter. Applying the analytical reconstruction technique with the determined filter component may inherit beneficial properties from the algebraic reconstruction algorithm, e.g. versatility and robustness to noise, without incurring the associated computational cost.

Abstract: An approach is provided in which a knowledge manager processes an image using a convolutional neural network. The knowledge manager generates a pixel-level heat map of the image that includes multiple decision points corresponding to multiple pixels of the image. The knowledge manager analyzes the pixel-level heat map and detects sets of decision points that correspond to target objects. In turn, the knowledge manager marks regions of the heat map corresponding to the detected sets of per-pixel decision points, each of the regions indicating a location of the target objects.

Abstract: Provided is an image processing device including a selection section configured to select, from a plurality of transform units with different sizes, a transform unit used for inverse orthogonal transformation of image data to be decoded, a generation section configured to generate, from a first quantization matrix corresponding to a transform unit for a first size, a second quantization matrix corresponding to a transform unit for a second size from a first quantization matrix corresponding to a transform unit for a first size, and an inverse quantization section configured to inversely quantize transform coefficient data for the image data using the second quantization matrix generated by the generation section when the selection section selects the transform unit for the second size.

Abstract: A method and system for processing a radiography image derived from an X-ray radiation passing through an object. The method includes acts of estimating, based on the radiography image, a scatter signal present in said radiography image; calculating, based on the estimated scatter signal, a scatter removal signal indicative of a scattered radiation removable from the X-ray radiation passing through the object by a reference anti-scatter device; and correcting the radiography image based on the scatter removal signal.

Abstract: A processor computes a measure of input image structural complexity of an input image, and searches a database of true positives to find one or more entries in the database that represent true positive images that are structurally similar to the input image. The processor compares a measure of signal quality of the input image and a measure of signal quality of one of the true positive images, as retrieved from the database, and based on the comparison updates a control variable that configures a signal quality conditioning process that is to be performed on the input image prior to processing of the input image by a computer vision processor thus improving performance of the computer vision task. Other embodiments are also described and claimed.