Abstract: A sensor assembly for determining vibrations of a measurement object, which sensor assembly is or can be fastened to the measurement object in a bonded, form-closed, and/or force-closed manner, an RFID transponder and an acceleration sensor unit coupled to the RFID transponder, wherein sensor data of the acceleration sensor unit are to be sent by means of the RFID transponder. Also disclosed is a device for determining vibrations of a measurement object, to a measurement object having at least one sensor assembly, and to a method for determining vibrations of a measurement object.

Abstract: An indicia reader is adapted for hand held operation to read information bearing indicia (IBI) at a point of transaction (POT) and is operated by: configuring the indicia reader in a store to provide at least one store specific indicia read notice; reading an IBI at a POT with the indicia reader and providing the at least one store specific indicia read notice to a customer when each IBI is read.

Abstract: A system and method for calibrating a barcode scanning tunnel comprises providing a scanning tunnel having a moveable surface, a camera, and a dimensioning device. Orientations of the dimensioning device and camera are estimated. Instances of a calibration object on the moveable surface are acquired by the dimensioning device and the camera, and a relationship is defined between the two devices. A calibration object is moved along the moveable surface through the devices' fields of view, controlling the camera's focal distance according to the relationship, so that the dimensioning device and the camera acquire instances of the calibration object, and the relationship is revised.

Abstract: A laser scanning system having a laser scanning field, and a laser beam optics module with an optical axis and including: an aperture stop disposed after a laser source for shaping the laser beam to a predetermined beam diameter; a collimating lens for collimating the laser beam produced from the aperture stop; an apodization element having a first and second optical surfaces for extending the depth of focus of the laser beam from the collimating lens; and a negative bi-prism, disposed after the apodization element, along the optical axis, to transform the energy distribution of the laser beam and cause the laser beam to converge to substantially a single beam spot along the far-field portion of the laser scanning field, and extend the depth of focus of the laser beam along the far-field portion of the laser scanning field.

Abstract: A graphical code processing method and apparatus are disclosed. The method includes: acquiring a predetermined graphical code, wherein the predetermined graphical code carries: an identification of a predetermined application program corresponding to the predetermined graphical code, a call address of the predetermined application program, and content data; parsing the identification of the predetermined application program, the call address of the predetermined application program and the content data from the predetermined graphical code; and detecting whether the identification of the predetermined application program matches an identification of a current application program.

Abstract: A code input device is used to simultaneously read a first code and a second code. The code input device includes at least one of a camera or a field reader. A determination is then made as to whether the first code and the second code are in accordance with a set of rules. When the view of the first code and the second code are in accordance with the set of rules, an assignment function that is associated with at least the first code is performed.

Abstract: A reading system including: a primary reader for reading an information bearing device (IBD) having encoded IBD data provided therein for packetizing the encoded data and processing a first data packet of the packetized encoded data and transmitting a second data packet of the packetized encoded data; at least one auxiliary reader for receiving and processing the second data packet and the transmitting the processed second data packet; and wherein the processed first and second data packets are combined to produce decoded IBD data.

Abstract: An information detection and display apparatus, and detecting method and displaying method thereof are provided. The information detection and display apparatus includes: an optical sensor; a protective layer disposed on the optical sensor; and a display screen disposed underneath the optical sensor, wherein the display screen serves as a light source when the optical sensor is used for detecting optical information. The information detection and display apparatus can be used for generating optical fingerprint image, detecting finger touching, and displaying information. Thus, the information detection and display apparatus has multiple functions and applications.

Abstract: The present invention relates to a method of sensing a fingerprint pattern of a finger using a fingerprint sensing device comprising an array of sensing elements; an electrically conductive finger detecting structure; and finger detecting circuitry connected to the finger detecting structure for providing a finger detection signal indicative of a capacitive coupling between the finger detecting structure and the finger. The method comprises the steps of: comparing the finger detection signal with a first threshold value indicating a first capacitive coupling, and a second threshold value indicating a second capacitive coupling stronger than the first capacitive coupling; and activating at least a subset of the sensing elements when the finger detection signal changes from a first value indicating a capacitive coupling weaker than the first capacitive coupling to a second value indicating a capacitive coupling stronger than the second capacitive coupling.

Abstract: Data processing systems and methods are provided that improve the perceived efficiency of image analysis tools in a digital pathology workflow when challenged by analyzing large size microscopic images. Various embodiments utilize a separation of the image analysis programs into a first automatically executed segment that requires no user interactions for identification and quantification of object data of processed images, and a second interactive segment for accepting user input. User interactions are only applied to the already calculated object data resulting in an improved system response time. A tile-based processing scheme with concurrent processing and generation of object data in a tile-based data format provides further performance improvements of the system.

Abstract: In accordance with preferred embodiments of the present invention, a method for imaging tissue, for example, includes the steps of mounting the tissue on a computer controlled stage of a microscope, determining volumetric imaging parameters, directing at least two photons into a region of interest, scanning the region of interest across a portion of the tissue, imaging a plurality of layers of the tissue in a plurality of volumes of the tissue in the region of interest, sectioning the portion of the tissue and imaging a second plurality of layers of the tissue in a second plurality of volumes of the tissue in the region of interest, detecting a fluorescence image of the tissue due to said excitation light; and processing three-dimensional data that is collected to create a three-dimensional image of the region of interest.

Abstract: Specific-site extraction unit 24 extracts specific sites from microscopy images that are obtained by staining or fluorescence labeling of specific sites in a specimen 4. Based on the similarity between MS imaging data and the spatial distribution of the specific sites, cluster analysis unit 25 and division count determination processing unit 26 evaluate the similarity with the spatial distribution of all pixels that belong to one cluster when each of the pixels are categorized into a plurality of clusters. Since the specific sites are sites that include the same characteristic substance, clustering is judged to be appropriate if the similarity in spatial distribution is high. Hence, based on the correlation between spatial distributions, an appropriate division count for the cluster analysis is determined, and the result of the cluster analysis using the division count is output on a display unit 31.

Abstract: Subject matter disclosed herein relates to arrangements and techniques that provide for identifying objects within an image such as the face position of a user of a portable electronic device. An application specific integrated circuit (ASIC) is configured to locate objects within images. The ASIC includes an image node configured to process an image and a search node configured to search the image for an object in the image. The search node includes an integral image generation unit configured to generate an integral image of the image and a Haar feature evaluation unit configured to evaluate search windows of the integral image with respect to Haar-like features. The ASIC also includes an ensemble node configured to confirm the presence of the object in the image.

Abstract: Subject matter disclosed herein relates to arrangements and techniques that provide for identifying objects within an image such as the face position of a user of a portable electronic device. An application specific integrated circuit (ASIC) is configured to locate objects within images. The ASIC includes an image node configured to process an image and a search node configured to search the image for an object in the image. The search node includes an integral image generation unit configured to generate an integral image of the image and a Haar feature evaluation unit configured to evaluate search windows of the integral image with respect to Haar-like features. The ASIC also includes an ensemble node configured to confirm the presence of the object in the image.

Abstract: A method for face detection includes capturing a depth map and an image of a scene and selecting one or more locations in the image to test for presence of human faces. At each selected location, a respective face detection window is defined, having a size that is scaled according to a depth coordinate of the location that is indicated by the depth map. Apart of the image that is contained within each face detection window is processed to determine whether the face detection window contains a human face. Similar methods may also be applied in identifying other object types.

Abstract: An image processing method includes steps of: providing a source face image and a target face image; extracting facial features from the source face image and the target face image respectively; detecting feature dimensions of the facial features from the source face image and the target face image respectively; pairing the facial features from the source face image with the facial features from the target face image; and, forming an output face image by adjusting the facial features from the source face image in at least one of the feature dimensions according to the paired features from the target face image in the corresponding feature dimensions.

Abstract: Object detection techniques are described. In one or more implementations, a plurality of images are received by a computing device. The plurality of images are analyzed by the computing device to detect whether the images include, respectively, a depiction of an object. If an object is found in a first image, the locations, angles and scales for object detection can be further restricted in a second one. If an object is not found in a first one of the image, different portions of a second one of the images are analyzed for object detection.

Abstract: A method for detecting biometric characteristics in a captured biometric data image is provided that includes determining, by a processor, an approximate location for a biometric characteristic in a frame included in captured biometric data, and determining region of interest positions over the frame. Moreover, the method includes calculating a set of feature values for each position, generating a displacement for each set of feature values and generating a median displacement, and adjusting the biometric characteristic location by the median displacement.

Abstract: Provided is a suspicious person detection method. First, a normal similar facial image search is carried out. Next, facial images, which are detected automatically from the input images and specified manually, are specified to be determined. Next, similar faces are searched for limited time on a time axis on the database. Next, the number of search results that distance between the features is lower than predetermined value is calculated and it is determined that the number of appearances is large and a possibility of a prowling person is high if the number of cases is large, and otherwise a possibility of prowling person is low. Last, a similarity between a facial image of a pre-registered residents and a facial image of a person whose number is large is calculated, and it is re-determined that the person is residents if the similarity is high, regardless of the determination.

Abstract: A method of estimating an orientation of a body is provided. The method includes determining a reference point based on a first region of a body, calculating a translation matrix of a world coordinate system based on the reference point; determining a first vector based on the reference point and a second region of the body, calculating a first rotation matrix rotated by an angle ? about a first rotation vector, which is perpendicular to the first vector and a Z-axis of the world coordinate system, as a first rotation axis, determining a second vector based on the first vector and a third region of the body, calculating a second rotation matrix rotated by an angle ? about the Z-axis of the world coordinate system as a second rotation axis, and calculating a transformation matrix based on the translation matrix, the first rotation matrix, and the second rotation matrix.

Abstract: A system and method of for describing target data as a sequence of pattern elements and pattern element groups that comprise an overall target pattern is described. Pattern elements may utilize regular expression syntax along with other metadata that describe the behavior of the element. A pattern element group may be a collection of fully defined pattern elements where at least one pattern element from the group must have a match for the overall pattern to match. Patterns contain both pattern elements and pattern element groups. The general process involves first performing optical character recognition (OCR) on the document, which in turn produces a sequence of text tokens representing the lines of text on each page of the document. The search algorithm may then apply each defined pattern to the entire document capturing and/or extracting data that match each pattern's required elements and element groups.

Abstract: Provided herein are systems, methods and computer readable media for classification of documents using a location hierarchy.

Abstract: The current document is directed to methods and systems for identifying symbols corresponding to symbol images in a scanned-document image or other text-containing image, with the symbols corresponding to Chinese or Japanese characters, to Korean morpho-syllabic blocks, or to symbols of other languages that use a large number of symbols for writing and printing. In one implementation, the methods and systems to which the current document is directed carry out an initial processing step on one or more scanned images to identify a set of graphemes that most likely correspond to each symbol image that occurs in the scanned document image. The graphemes are selected for a symbol image based on accumulated votes generated from symbol patterns identified as likely related to the symbol image using one or more decision forests.

Abstract: An iris recognition apparatus for recognizing iris in an eyeball is provided. In particular, an iris recognition apparatus including a reflection unit that reflects and transmits an image of an eyeball is provided. The reflection unit reflects and transmits an image of an eyeball. A first image collection unit collects a reflected image. A control unit extracts an iris pattern based on the collected image.

Abstract: A method and an electronic apparatus for locating the center of a pupil are provided. The method includes: obtaining a glint-free image including a pupil; generating a gradient magnitude graph and a gradient orientation graph based on the glint-free image; sifting a plurality of first pixels from the gradient magnitude graph, and finding a plurality of second pixels corresponding to the plurality of first pixels in the gradient orientation graph; taking a negative gradient orientation to each of the second pixels to generate a gradient emission graph including a plurality of emissions; defining a center of the pupil in the glint-free image based on the plurality of emissions in the gradient emission graph.

Abstract: A control circuit having access to at least one high-energy image of a scene assesses that image to identify candidate obfuscaters as well as candidate obfuscated objects. This control circuit then processes information regarding the candidate objects to identify objects of interest. By one approach these objects of interest are deemed “of interest” as a function of their being obfuscated in a particular context. By one approach these teachings will accommodate identifying objects as being of interest as a function, at least in part, of the material composition of both the object as well as the visual obfuscater. These teachings also will accommodate peeling away background content/attenuation information in order to separate (and facilitate displaying) a given object in relative isolation from that background content.

Abstract: A device is configured to determine a geographic location of a user device and determine, based on the geographic location of the user device, that the user device is within a threshold distance of a structure that includes a quantity of objects. The device is configured to receive, from the user device, an image of an object of the quantity of objects, and analyze, based on receiving the image of the object and based on the user device being within the threshold distance of the structure, the image to identify the object. The device is configured to receive user information associated with the user device, determine, based on the user information, object information associated with the object; and provide the object information for display on the user device.

Abstract: A method for event identification in video data includes identifying a feature vector having data corresponding to at least one of a position and a direction of movement of an object in video data, generating an estimated feature vector corresponding to the feature vector using a dictionary including a plurality of basis vectors, identifying an error between the estimated feature vector and the feature vector, identifying a high-interest event in the video data in response to the identified error exceeding a threshold, and displaying the video data including the high-interest event on a video output device only in response to the error exceeding the threshold.

Abstract: The invention relates to a method for evaluating a plurality of chronologically staggered images, said method comprising the following steps: detecting a plurality of objects in a first image and storing each of the plurality of objects as tracks with a first capture time and/or a first capture location, preferably in a track list, detecting a plurality of objects in further images and identifying each of the detected objects as an object assigned to the respective stored track, wherein the respective track is updated by the current position of the identified object and, in the respective further images, objects detected for the first time are stored with assigned tracks, and wherein a covered path length, a distance and/or a time difference from the first capture time is determined as a capture period for each of the objects or tracks, wherein the path length, the distance and/or the capture period are compared with a respective predefined threshold value, and wherein the objects or tracks are classifie

Abstract: Provided are an information processing system, an information processing method, and a program capable of favorably estimating the association between persons appearing in pictures.

Abstract: A three-dimensional object detection device has an image capturing unit, a first object detection unit, a light source detection unit, a second object detection unit, a degree-of-clouding calculation unit and a controller. The image capturing unit captures images rearward of a vehicle. The first object detection unit detects a presence of a three-dimensional object from the captured images. The second object detection unit detects a presence of a three-dimensional object from a detection result of the light source detection unit. The degree-of-clouding calculation unit calculates a degree of lens clouding from the captured images. The controller assess the object as an adjacent vehicle in an adjacent lane from the degree of lens clouding when the degree of lens clouding is equal to or greater than a predetermined value and from the presence of the object in the captured images when the degree of lens clouding is less than the value.

Abstract: A driving assistance device includes: an imaging unit configured to image surroundings of a vehicle, an image processing unit configured to perform processing on the image imaged by the imaging unit and to generate a display image, and a display unit configured to display the display image generated by the image processing unit. The image processing unit, in response to a set condition, among areas in which the image imaged by the imaging unit is divided, generates a display image in which a visibility of a display area corresponding to a first area which is an imaging area at a side far from the vehicle is lower than a visibility of an ordinary display image thereof.

Abstract: A method using Long Wave Infrared Imaging Polarimetry for improved mapping and perception of a roadway or path and for perceiving or detecting obstacles comprises recording raw image data using a polarimeter to obtain polarized images of the roadway or area. The images are then corrected for non-uniformity, optical distortion, and registration. IR and polarization data products are computed, and the resultant data products are converted to a multi-dimensional data set for exploitation. Contrast enhancement algorithms are applied to the multi-dimensional imagery to form enhanced object images. The enhanced object images may then be displayed to a user, and/or an annunciator may announce the presence of an object. Further, the vehicle may take evasive action based upon the presence of an object in the roadway.

Abstract: A mobile computing device may include a biometric sensor in proximity with a color-controlled layer. Where the color of the color-controlled layer may be changed, a processor of the mobile computing device may control the color of the color-controlled layer responsive to sensing various conditions. For example, the color of the color-controlled layer may be controlled, by default, to match the housing of the mobile computing device. Responsive to sensing an approaching user finger, the color-controlled layer may be controlled to change color. The color-controlled layer may be controlled to change color again upon contact of the finger, upon removal of the finger and upon determining authentication success. The color-controlled layer may be structured as a mix of heating elements and thermochromic polymer elements.

Abstract: A method quickly recognizes a person by identification codes derivable from biometric data includes registering a user, and recognizing a registered user, through a respective recognition event. Each registration event includes acquiring at least one biometric datum related to blood vessels of the user. The acquired biometric datum is encoded into a respective registration identification code and associated with the user. The user and the associated registration identification code are registered. Each recognition event includes acquiring biometric datum related to the user's blood vessels and encoding the acquired biometric datum into a respective recognition identification code. Based on the registered registration identification codes, a comparison set of comparison identification codes is prepared and compared. For each comparison, a matching level is estimated and the user is recognized or refused recognition based on the estimated matching levels.

Abstract: The present invention relates to a camera based method for text input and detection of a keyword or of a text-part within page or a screen comprising the steps of: directing a camera module on the printed page and capturing an image thereof; digital image filtering of the captured image; detection of word blocks contained in the image, each word block containing most likely a recognizable word; performing OCR within each word block; determination of A-blocks among the word blocks according to a keyword probability determination rule, wherein each of the A-blocks contains most likely the keyword; assignment of an attribute to each A-block; indication of the A-blocks in the display by a frame or the like for a further selection of the keyword; further selection of the A-block containing the keyword based on the displayed attribute of the keyword; forwarding the text content as text input to an application.

Abstract: Methods and apparatus are disclosed for extracting a one-dimensional digital signal from a two-dimensional digital image along a projection line. In some embodiments a repeating sequence of pixel weight templates, and a sequence of relative positions, are selected in response to the orientation of a projection line and used to compute a sequence of weighted sums. The sequence can be selected to achieve desirable properties, for example photometric accuracy, geometric accuracy, resolution, and/or noise reduction. In some embodiments registers and multiply-accumulators are arranged and controlled so as to compute the 1D signal.

Abstract: A conversion apparatus is disclosed, including: a storage unit; and a processor configured to perform a conversion process. In the conversion process, a handwriting input for a specific position in a text is received. Conversion candidates for the handwriting input is generated based on context information acquired by analyzing before, after, or around the specific position of the text.

Abstract: Some aspects of the invention relate to a mobile apparatus including an image sensor configured to convert an optical image into an electrical signal. The optical image includes an image of a vehicle license plate. The mobile apparatus includes a license plate detector configured to process the electrical signal to recover information from the vehicle license plate image. The mobile apparatus includes an interface configured to transmit the vehicle license plate information to a remote apparatus and receive an estimated value for a vehicle corresponding to the vehicle license plate in response to the transmission.

Abstract: Some aspects of the invention relate to a mobile apparatus including an image sensor configured to convert an optical image into an electrical signal. The optical image includes an image of a vehicle license plate. The mobile apparatus includes a license plate detector configured to process the electrical signal to recover information from the vehicle license plate image. The mobile apparatus includes an interface configured to transmit the vehicle license plate information to a remote apparatus and receive an insurance quote for a vehicle corresponding to the vehicle license plate in response to the transmission.

Abstract: A processor implemented system and method for identification of an activity performed by a subject based on sensor data analysis is described herein. In an implementation, the method includes capturing movements of the subject in real-time using a sensing device. At least one action associated with the subject is ascertained from a predefined set of actions. From the predefined set of actions, a plurality of actions can collectively form at least one activity. The ascertaining is based on captured movements of the subject and at least one predefined action rule. The at least one action rule is based on context-free grammar (CFG) and is indicative of a sequence of actions for occurrence of the at least one activity. Further, a current activity performed by the subject is dynamically determined, based on the at least one action and an immediately preceding activity, using a non-deterministic push-down automata (NPDA) state machine.

Abstract: A method includes generating, based on a distance map, a signal indicative of a quantification of a characteristic of a lumen of a tubular structure of interest over a pre-determined extent of the tubular structure of interest represented in volumetric imaging data. A system includes a quantifying component (216) that generates, based on a distance map, a signal indicative of a quantification of characteristic of a lumen of a tubular structure of interest over a pre-determined extent of the tubular structure of interest represented in volumetric imaging data. A method includes identifying voxels of 3D segmented imaging data that represent tubular structure of interest, determining distances between the identified voxels and nearest voxels corresponding to other structure in a plurality of 2D slices of the segment imaging data, representing the voxels with intensity values that are proportional to the distances, and generating a signal indicative of a 3D distance map based on the intensity values.

Abstract: A method identifies user demographic characteristics, such as age and gender. First, a plurality of photos are acquired from postings to a social media site by a specific user. A plurality of facial images are identified in the acquired photos. Using a selected subset of the facial images, the method estimates one or more demographic characteristics of the user. In some cases, the estimation uses a profile photograph of the user. In some cases, the facial images are clustered based on similarity. The cluster that most closely matches the profile photo is used for demographic analysis to estimate the characteristics of the user. In some cases, a cluster is selected based on cluster purity, and the images in the cluster are used to estimate the characteristics of the user. In some cases, other self-portrait features are used, such as large facial images or arms along the perimeter of photographs.

Abstract: A system may receive filter coefficients defining a digital filter. The system may select a signal processing quality criterion which describes a transformation that can be derived from an image and further describes the reconstruction of the image that can be derived from the transformation. The system may determine a degree of optimization that quantifies the signal processing quality criterion with the received filter coefficients. The system may vary the filter coefficients to obtain varied filter coefficients. The system may establish the degree of optimization with the varied filter coefficients. The system may compare the determined degree of optimization with the established degree of optimization.

Abstract: Techniques where a computer or mobile device performs video analysis of a person performing a physical activity are described. The computer or mobile device performs video analysis based on one or more reference skeletons. The reference skeleton may be superimposed over captured video of the person performing the physical activity or compared to a generated player skeleton based on the captured video to determine derivation from the reference skeleton in the physical activity performed by the person.

Abstract: Methods, systems, and articles of manufacture for annotating of an image are disclosed. These include scoring the image using a plurality of trained classifiers, wherein each of the trained classifiers corresponds to at least one of a plurality of image groups clustered based upon image similarity, and wherein each image group is associated with a set of weighted labels; selecting one or more of the image groups based upon the scoring; aggregating one or more sets of weighted labels associated with the selected one or more image groups; and annotating the image using the aggregated one or more sets of weighted labels.

Abstract: Some embodiments include a method of operating a computing device to learn user preferences of how to process digital images. The computing device can record a user image selection, associated with a user account, of at least one of digital image versions of a base digital image. The computing device can determine a context attribute to associate with the user image selection. The computing device can compute an image processing rule associated with the user account by applying machine learning or statistical analysis on multiple user image selections associated with the context attribute, the multiple user image selections including the user image selection.

Abstract: A system for automated geospatial image analysis comprising a deep learning model module and a convolutional neural network serving as an automated image analysis software module. The deep learning module receives a plurality of orthorectified geospatial images, pre-labeled to demarcate objects of interest, and optimized for the purpose of training the neural network of the image analysis software module. The module presents marked geospatial images and a second set of unmarked, optimized, training geospatial images to the convolutional neural network. This process may be repeated so that an image analysis software module can detect multiple object types or categories. The image analysis software module receives a plurality of orthorectified geospatial images from one or more geospatial image caches. Using multi-scale sliding window submodule, image analysis modules scan geospatial images, detect objects present and locate them on the geographical latitude-longitude system.

Abstract: Systems and methods for segmenting a structure of interest in medical imaging data include generating a binary mask highlighting structures in medical imaging data, the highlighted structures comprising a connected component including a structure of interest. A probability map is computed by classifying voxels in the highlighted structures using a trained classifier. A plurality of detaching operations is performed on the highlighted structures to split the connected component into a plurality of detached connected components. An optimal detaching parameter is determined representing a number of the detaching operations. A detached connected component resulting from performing the number of detaching operations corresponding to the optimal detaching parameter is classified as the structure of interest based on the probability map and the trained classifier.

Abstract: To record events, a vector A is taken of n measurements An. Each measurement An is converted into a binary vector Bn using a binning process. Measurements in vector Bn, are transformed using a kernel operation, to make a vector Cn. All vectors Cn are concatenated into a single vector D. A binary vector M is created with P bits set. A date and vector A are recorded against vector M in a database Z. Vector D is associated into a correlation matrix memory R against vector M. To recall events, the above steps are repeated up to concatenating all vectors Cn into single vector D. Vector D is then used to access a correlation matrix memory R to recall an association vector S, and vector S is applied directly or indirectly to database Z to recover the or each date associated with vector S. This may facilitate the monitoring of assets such as generators, gas turbines, motors, and larger assets such as trains, boats and planes, to ensure that they continue to operate reliably.