Abstract: A magnetic circuit includes an upper plate, a magnet, a lower plate, and a center pole. The outer circumference of a frame is coupled with a diaphragm. One end of a voice coil is coupled with the diaphragm, and the other end is inserted into a magnetic gap formed between the upper plate and the center pole. The frame is provided with a through hole. An insertion part provided on the outer circumference of the upper plate is inserted into the through hole. The frame is coupled with the upper plate by bending the insertion part.

Abstract: Methods and systems for searching for and retrieving video content via fingerprint matching are described. In some example embodiments, the methods and systems access an index of reference fingerprints, such as quantized values associated with multiple values calculated from patches of a frame, that are associated with sequential frames of known video content. The methods and systems may receive a search query that includes a group of query fingerprints associated with sequential frames of video content presented at a client device, access the index, compare the group of query fingerprints to reference fingerprints of the index, determine that the group of query fingerprints match the reference fingerprints of the index, and identify the video content presented at the client device based on the determined match.

Abstract: A cell phone is disclosed for acquiring information to be transmitted to a receiving facility and for transmitting such thereto. A capture device captures information from an external source. A stamping device is provided for associating with the captured information a representation of the date and time of the capture of the information, such that the representation of the date and time information in association with the captured information forms augmented captured information. A data processing unit places the augmented captured information in association with subscriber information in a transmission of the augmented captured information to a receiving facility requiring such subscriber information. A transmitter transmits the transmission including the augmented captured information and the subscriber information to the receiving facility.

Abstract: Systems and methods for text detection are provided. An image is received, and a set of connected components in the image are determined. For each connected component in the set, a bounding area is determined. A set of regions of the image are determined, based on the bounding area. Each region in the set of regions is classified and normalized based on the classification. The normalized set of regions is merged into a binary image.

Abstract: Techniques are disclosed for processing a video stream to reduce platform power by employing a stepped and distributed pipeline process, wherein CPU-intensive processing is selectively performed. In one example case, the techniques are implemented in a user's computer system wherein initial threshold detection (image disturbance) and optionally user presence (e.g., hand image) processing components are proximate to or within the system's camera, and the camera is located in or proximate to the system's primary display. The threshold detection and/or target presence stages can be selectively disabled for a hold-off period. The hold-off period may be, for example, in the range of 50 to 1000 mSec and triggered in response to an indication that a user of the system is unlikely to be making navigational gestures or that the system is not ready to process video, thereby conserving power by avoiding processing of video frames free of navigation gestures.

Abstract: Methods and apparatuses for compressive sensing that enable efficient recovery of features in an input signal based on acquiring a few measurements corresponding to the input signal. One method of compressive sensing includes folding an image to generate first and second folds, and recovering a feature of the image based on the first and second folds without reconstructing the image. One example of a compressive sensing apparatus includes a lens, a focal plane array coupled to the lens and configured to generate first and second folds based on the image, and a decoder configured to receive the first and second folds and to recover a feature of the image without reconstructing the image. The feature may be a local geometric feature or a corner. Compressive sensing methods and apparatuses for determining translation and rotation between two images are also disclosed.

Abstract: Method for applying super-resolution to images captured by a camera device of a vehicle includes receiving a plurality of image frames captured by the camera device. For each image frame, a region of interest is identified within the image frame requiring resolution related to detail per pixel to be increased. Spatially-implemented super-resolution is applied to the region of interest within each image to enhance image sharpness within the region of interest.

Abstract: A method and a device are provided for recognizing road signs in image data. The method includes, but is not limited to segmenting an object in the image data that is a road sign for a predefined probability. A text mapped in the segmented image data is identified using a text recognition method, where this text comprises numbers and/or words and/or abbreviations and/or combinations thereof. A probability value is determined for the text being depicted on a road sign and, in case the probability value is smaller than or equal to a predefined threshold value, is selected as a potential road sign. In case the probability value is greater than the predefined threshold value, a classifier is applied to the segmented image data for recognizing the object as an actual road sign.

Abstract: The present invention accurately detects an object from a video image where large distortion of an image may be generated for covering a wide field of view.

Abstract: The present disclosure is directed to performing head tracking. The method comprises: (a) receiving an input of an image including a facial area; and (b) tracking a movement of the facial area. The step (b) comprises: (b-1) if a rotation angle of a facial area is within a predetermined angle range from a front side, searching for a location change of feature points within a facial area through a comparison with a template learned in advance; and (b-2) if a rotation angle of a facial area is beyond a predetermined angle range from a front side, searching for a location change of feature points within a facial area through a comparison with a facial area image frame previously inputted.

Abstract: A method for adjusting an observation distances between an user and a display device is provided. When the display device determines that the user is squinting and determines a distance value between the user and the display device is larger than a predetermined value, the display device controls a driving unit to drive a display unit of the display device to move toward to the user. A display device is also provided.

Abstract: Moving and/or still image(s) are aligned to multiple display devices. One or more display devices may be connected to a system using a variety of communicative connections. One or more imaging devices may be used to capture images of a plurality of display devices while the display devices display one or more unique identifiers. The captured image(s) are processed to determine the location of one or more of the connected display devices. Portions of an overall image may be distributed to one or more of the connected display devices to display the overall image across the display device(s). Location information for one or more display devices may be updated periodically, which may update the portion of an image displayed on one or more connected display devices.

Abstract: An information processing system that acquires an image captured by an image pickup unit; acquires one or a plurality of templates each including one or a plurality of fields; compares the image to the one or plurality of templates; and outputs a result based on the comparison, the result indicating whether recognition of each of the one or plurality of fields of the one or plurality of templates was successful.

Abstract: A system and method for the measurement of distances related to an object depicted in an image. One aspect including delivery of supplemental materials for fenestration and for constructing insulating materials for fenestration. A digital image containing a primary object dimension and a reference object dimension in substantially the same plane undergoes digital image processing to provide improved measurement capability. Information regarding a primary object is provided to an automated measurement process, design and manufacturing system to provide customized parts to end users. A digital image is obtained having an observable constraint dimension to which a customized part is to conform wherein the digital image contains a reference object having a reference dimension and a constraint dimension is calculated from the digital image based on a reference dimension. The custom part is designed and manufactured based on the calculated constraint dimension.

Abstract: A computer-implemented method and apparatus for determining location, the method comprising: receiving a first sequence of kinematic values related to a route of an image appearing in captured pictures; receiving a second sequence of kinematic values related to a series of readings from at least one inertial sensor received from a mobile device; determining a matching measure between the first sequence of kinematic values and the second sequence of kinematic values; and associating an identifier associated with the mobile device with a location determined from the captured pictures.

Abstract: The present invention relates to a system (1) and method (100) for resolution enhancement which enables the depth resolution to be enhanced without using gimbal, performs depth description independent from lighting conditions and camera parameters in high resolution.

Abstract: A computer receives a first set of spectral information for a first surface, wherein the first set of spectral information includes a pixel count for each color value of a range of color values, with regard to each color, measured at time one. The computer determines, with regard to the first set, whether dispersion of the pixel count across the range of color values, with regard to each color, exceeds a first threshold value. The computer determines, with regard to the first set, a surface contamination level based on at least whether the dispersion of the pixel count across the range of color values, with regard to each color, exceeds the first threshold value.

Abstract: A digital image of a target object is received and the image includes a plurality of pixels. The target object is at least a portion of an animal, and the portion of the animal is disposed in the image according to a predetermined disposition. The weight of the animal is determined using the model and at least one characteristic. At least some of the pixels of the image of animal are analyzed to determine at least one characteristic of the image of the animal. The weight of the animal is determined using the at least one characteristic.

Abstract: The present invention discloses a method and apparatus for page proofreading, the method comprising: splitting a document before modification to at least one single page document file before modification and splitting a document after modification to at least one single page document file after modification; adding the at least one single page document before modification into a first page, adding the at least one single page document after modification into a second page; setting correlativity between each of the single page documents before modification in the first page and each of the single page documents after modification in the second page; comparing pixel elements of the previews of the single page document before modification and the single page document after modification for all of the first pages and the second pages that correlated with each other; if there are different parts, displaying the comparison result by marking the different parts.

Abstract: Apparatus, systems and methods for facilitating iris-scanning contact lenses and/or biometric identification employing iris scanning contact lenses are provided. In one implementation, the contact lens can include: a transparent substrate formed to cover at least a portion of an iris of an eye; and a circuit. The circuit can include: one or more light sensors disposed on or within the transparent substrate and that detects light filtered through the iris and incident on the one or more light sensors; readout circuitry, operably coupled to the one or more light sensors, that outputs information indicative of the light filtered through the iris and incident on the one or more light sensors; and a power component that supplies power to the readout circuitry. In various implementations, the contact lens can be employed in systems and/or methods associated with authentication and identification.

Abstract: An apparatus and method for authenticating a subject using the eye as an identifying biometric, in particular the shape of the cornea. An image projection device generates and projects an image of a pattern, of plural discrete points, onto at least a part of the cornea of the eye. An image capture device captures an image of the pattern of plural discrete points, after reflection from the cornea of the eye. A computer processor extracts data defining the locations of the discrete points in the captured image. The method steps are capturing an image of a pattern, made up of plural discrete points, after reflection from of the cornea of a subject; comparing the locations of the discrete points in the captured image against the locations of discrete points in a pattern of a reference image; and, authenticating the identity of the subject depending on the similarity of the comparison.

Abstract: In some embodiments, a server for creating photo-based projects is disclosed.

Abstract: Examples of the present disclosure may include methods, systems, and computer readable media with executable instructions. An example method for retrieving visual media can include receiving a text query associated with a target content. A first group of visual media is identified based on correspondence of metadata of the visual media with the text query, and keyframes from the first group of identified visual media are selected. The method further includes detecting instances of a content type in the selected keyframes, and grouping similar instances of the content type into clusters. The target content is associated with a cluster having a greatest quantity of similar instances.

Abstract: A portable biometric lighter device (100) generally involving a control unit (210), a biometric sensor, such as a fingerprint sensor (140), wherein the biometric sensor is configured to scan a biometric data of a user and is operably coupled to the control unit (210), and an ignition element, wherein the ignition element is activated by the control unit (210) upon a match of the scanned biometric data of the user and a biometric data of an authorized user that is stored in a memory device.

Abstract: The methods and systems disclosed herein include obtaining a first image of a sample, where the first image corresponds to light transmitted through the sample in a first plurality of distinct spectral bands, obtaining a second image of the sample, where the second image corresponds to light transmitted through the sample in a second plurality of distinct spectral bands, and where at least some members of the second plurality of spectral bands are different from the members of the first plurality of spectral bands, and combining the first and second images to form a multispectral image stack, where each pixel in the image stack includes information corresponding to at least four distinct spectral bands, and where the at least four distinct spectral bands include at least one member from the first plurality of spectral bands and at least one member from the second plurality of spectral bands.

Abstract: A lesion diagnosis apparatus and a lesion diagnosis method are provided. A lesion-surrounding area determination unit is configured to determine an existence of a lesion-surrounding area from continuous medical images. A feedback provision unit is configured to generate feedback information about a presence of a lesion in the lesion-surrounding area.

Abstract: Disclosed is an information processing apparatus that supports diagnosis based on a tissue sample image obtained from imaging a biological tissue, including: a tissue sample image cutting unit that individually cuts out the tissue sample image from a plurality of slides that includes the plurality of tissue sample images; and a display position setting unit that sets a display position on a display screen where a reduced image of each tissue sample image is displayed, on the basis of a characteristic amount of each tissue sample image cut by the tissue sample image cutting unit.

Abstract: A system and method for image registration includes tracking (508) a scanner probe in a position along a skin surface of a patient. Image planes corresponding to the position are acquired (510). A three-dimensional volume of a region of interest is reconstructed (512) from the image planes. A search of an image volume is initialized (514) to determine candidate images to register the image volume with the three-dimensional volume by employing pose information of the scanner probe during image plane acquisition, and physical constraints of a pose of the scanner probe. The image volume is registered (522) with the three-dimensional volume.

Abstract: The invention relates to an apparatus for generating an attenuation correction map. An image providing unit (5, 6) provides an image of an object comprising different element classes and a segmentation unit (11) applies a segmentation to the image for generating a segmented image comprising image regions corresponding to the element classes. The segmentation is based on at least one of a watershed segmentation and a body contour segmentation based on a contiguous skin and fat layers in the image. A feature determination unit (12) determines features of at least one of a) the image regions and b) boundaries between the image regions depending on image values of the image and an assigning unit (13) assigns attenuation values to the image regions based on the determined features for generating the attenuation correction map.

Abstract: To provide an image reconstruction device capable of creating an image with image quality matching the operator's request when a cross-sectional image is reconstructed through a repeated calculation, the image reconstruction device which performs a repeated calculation on the basis of a difference between calculated projection data and measured projection data, the calculated projection data being obtained by performing a forward projection calculation on a reconstructed image which is reconstructed based on the measured projection data, includes an input section to which an image quality parameter which is considered to be important by an operator is input, a weight calculation section that calculates a weighting coefficient on the basis of the image quality parameter, and a repeated calculation section that performs a repeated calculation on the basis of a value obtained by weighting and adding a pixel value obtained in the previous iteration to a pixel value obtained from now using the weighting coefficien

Abstract: A method for determining an internal anatomical image associated with a patient includes receiving, by a computer, an image of a portion of a patient surface. The computer identifies an anatomical location corresponding to the portion of the patient surface and an image orientation based on the acquired image. Next, the computer determines a three dimensional image volume dataset of internal patient anatomy below the portion of the patient surface based on the anatomical location and the image orientation. The computer derives two dimensional image data on a plane within the three dimensional image volume dataset and transmits the derived two dimensional image data to a destination.

Abstract: The invention provides methods and systems for correcting translational distortion in a medical image of a lumen of a biological structure. The method facilitates vessel visualization in intravascular images (e.g. IVUS, OCT) used to evaluate the cardiovascular health of a patient. Using the methods and systems described herein it is simpler for a provider to evaluate vascular imaging data, which is typically distorted due to cardiac vessel-catheter motion while the image was acquired.

Abstract: A therapy system (10) includes one or more processors (98, 100). The processors (98, 100) are programmed to receive one or more of: (1) dosimetric data from dosimeters (26, 28, 202, 204, 206, 208, 210, 212) implanted within a patient and/or positioned on a vest (200); and (2) motion data from surrogates (18, 20, 22, 24) implanted within the patient. Based on the motion data, a current location and/or shape of a surrogate (18, 20, 22, 24) is determined and deviations between the current location and/or shape and a reference location and/or shape are determined. Based on the dosimetric data, a delivered dose distribution is compared with a planned dose distribution and deviations therebetween are determined. The deviations determined from the motion data and/or the dosimetric data are employed for adaptive planning, alignment, post treatment analysis, and safety.

Abstract: There is provided a microparticle sorting device that automatically optimizes a fluid stream. There is provided a microparticle sorting device that includes a voltage supply unit that supplies a driving voltage to a vibratory element that applies vibration to an orifice that produces a fluid stream, a charge unit that imparts charge to at least some droplets ejected from the orifice, deflecting plates, arranged opposing each other with the fluid stream S therebetween, that vary a travel direction of the droplets, and a first image sensor that acquires an image of the droplets passing between the deflecting plates.

Abstract: The present invention provides a method for classifying biological tissues with high precision compared to a conventional method. When measuring a spectrum which has a two-dimensional distribution that is correlated with a slice of a biological tissue, and acquiring a biological tissue image from the two-dimensional measured spectrum, the method includes dividing an image region into a plurality of small blocks, and then reconstructing the biological tissue image by using the measured spectrum and a classifier corresponding to each of the regions.

Abstract: The methods and systems disclosed herein include obtaining a first plurality of images of a sample, where each image in the first plurality of images corresponds to a different spectral band of illumination light incident on the sample or emission light from the sample, obtaining a second plurality of images of the sample, where each image in the second plurality of images corresponds to a different spectral band of illumination light incident on the sample or emission light from the sample, aligning the first and second pluralities of images based on information from a first image from the first plurality of images and a second image from the second plurality of images, where the first and second images correspond to a shared spectral band, and combining at least some members of the first plurality of images and at least some members of the second plurality of images to form an image stack.

Abstract: The subject invention concerns methods for the detection, diagnosis, and/or prognosis of cancer by analyzing centrosomal features. In one embodiment, a method includes receiving an image of one or more cells; selecting a region of interest in one cell; segmenting the region of interest to delineate at least one centrosomal; extracting one or more features from the segmented image; and analyzing the extracted features to diagnose cancer. In another embodiment, the progression of cancer can be predicted through analysis and classification of the extracted features. In one embodiment, the method can be performed by a quantitative cancer analysis system including a diagnosis module and/or a prognosis module. In one embodiment, the method can be performed using an image processing system.

Abstract: A system and method for comparing digital images, such as checks images used by banks, includes receiving and processing the images to be compared, including scaling the images to a common resolution, as well as filtering them to remove spot noise, background pels, and other non-information carrying elements. One or more regions of each image are selected for comparison. The selected regions are compared to one another by subtracting the pels of one image from the other's pels. A determination is made of whether the two or more images are duplicates of one another, or depict a substantially identical subject, based on the results of the subtractions. Furthermore, the amount of filtering and scaling may be adjusted to enhance the effects of the system to take advantage of common characteristics that may be known or detected in a particular set of images to be compared.

Abstract: Methods and systems for measuring a property of a component of a fuel cell system include performing a three-dimensional optical scan of at least a portion of a surface of the component to produce a three-dimensional representation of the topography of the at least a portion of the surface and measuring at least one property of the component based on the three-dimensional representation. Further embodiments include systems and methods for measuring dimensions of a fuel cell component using a line scan imaging device and/or a matrix camera.

Abstract: Various embodiments for detecting defects on a wafer are provided. Some embodiments include matching a template image, in which at least some pixels are associated with regions in the device having different characteristics, to output of an electron beam inspection system and applying defect detection parameters to pixels in the output based on the regions that the pixels in the output are located within to thereby detect defects on the wafer.

Abstract: Apparatus and methods for contrast enhancement and feature identification. In one implementation, an image processing apparatus utilizes latency coding and a spiking neuron network to encode image brightness into spike latency. The spike latency is compared to a saliency window in order to detect early responding neurons. Salient features of the image are associated with the early responding neurons. A inhibitory neuron receives salient feature indication and provides inhibitory signal to the other neurons within an area of influence of the inhibitory neuron. The inhibition signal reduces probability of responses by the other neurons to stimulus that is proximate to the feature thereby increasing contrast within the encoded data. The contrast enhancement may facilitate feature identification within the image. Feature detection may be used for example for image compression, background removal and content distribution.

Abstract: A method for converting a full color image to a monochrome image is provided, wherein the color values of pixels are decomposed in a luminance and a chrominance component. Both components are converted to a grayscale value representing an intensity of a pixel. The luminance grayscale value is in a limited range close to a light end of the available grayscale. The chrominance grayscale value is closer to the dark end of the available grayscale when the chrominance component of the color value is larger. The darkest value of the two converted values is selected for a corresponding pixel. The effect of this conversion is that colored pixels are darker than colorless pixels, which is useful to highlight parts of a monochrome image that stand out because of their color in a full color image. It is particularly useful to help color blind people recognize colored parts of an image.

Abstract: Techniques for using infrared imaging to create digital images for use in product customization are described. In an embodiment, an infrared photograph of a product with imprinted markup is received and a visible light photograph of the product with the imprinted markup is received. The imprinted markup is visible in the visible light photograph but is not visible in the infrared photograph. Instructions for rendering a customization image of the product depicting a particular customization are determined based in part on the infrared photograph and visible light photograph, where the particular customization is not in the infrared photograph or the visible light photograph.

Abstract: In image processing, a color fringe is removed. The processing includes selecting a maximum gradient magnitude among gradient magnitudes for each of color components in an image, calculating a boundary of a dilated near-saturation region in the image, detecting a transition region in the image according to the maximum gradient magnitude and the dilated near-saturation region, and removing a color fringe from the transition region.

Abstract: A noise estimation apparatus for calculating a noise estimation value of a frame of an image is provided. The noise estimation apparatus includes a distribution calculation unit, a variance calculation unit, a distribution curve generation module and a noise estimation unit. The distribution calculation unit generates a pixel distribution according to multiple pixel data of an ith block of the frame and multiple previous pixel data of the ith block of a previous frame. The variance calculation unit combines the pixel data and the previous pixel data to generate a variance value. The curve distribution generation module generates a curve distribution according to the variance value, and compares the pixel distribution with the curve distribution to generate a weighting value. The noise estimation unit outputs the noise estimation value according to the weighting value and the variance value corresponding to each of the blocks of the frame.

Abstract: A method and apparatus for detecting and recognizing an object using a vector histogram based on a local binary pattern are disclosed. The apparatus of detecting and recognizing an object using a local binary pattern includes: a feature map creator configured to extract an object area in which a moving object exists from an input image, to create a local binary pattern by designating a local area in the object area, and to create a vector component map including information about magnitude vector components and direction vector components using the local binary pattern; a feature map configuring unit configured to divide the object area into a plurality of blocks and to create a feature vector map through a histogram using the vector component map in a unit of the block; and an object detector configured to detect and classify the moving object based on the feature vector map.

Abstract: Various methods and systems are provided for adaptive background estimation. In one embodiment, among others, a signal processing device includes at least one processing unit and a memory storing a background estimation system executable in the at least one processing unit. The background estimation system, when executed, causes the signal processing device to separate foreground objects from at least one image frame in a sequence of image frames based at least in part upon a correntropy cost function. In another embodiment, a method includes obtaining an image frame from a sequence of image frames; performing correntropy filtering on the image frame to separate foreground objects from the image frame; and providing the foreground objects for rendering. The correntropy filtering may adapt to compensate for diffusion effects in the image frame.

Abstract: An image processing system is described which is arranged to highlight information in image displays by selectively blurring less important areas of an image. By generating such displays comprising areas which are in focus and areas which are out of focus, a viewer's attention is preferentially drawn towards those areas of an image which appear sharp. By having a display system which is arranged to generate such images a means is provided to direct a viewer's attention towards considering the sharp areas of the image display first. Further the selective blurring portions of an image reduces rather than increases the amount of information presented to a viewer and hence reduces the likelihood that a viewer will become overloaded with information. Display systems of this type are therefore especially applicable to complex control environments as means of directing viewer's attention.

Abstract: An image recognition device that improves the accuracy of generic object recognition compared with conventional technologies by reducing the influence of the position, size, background clutter and the like of an object that is targeted to be recognized in the input image by the generic object recognition. The image recognition device performs a generic object recognition and includes: a segmenting unit configured to segment an input image into a plurality of regions in accordance with meanings extracted from content of the input image; a generating unit configured to compute feature data for each of the plurality of regions and generate feature data of the input image reflecting the computed feature data; and a checking unit configured to check whether or not a recognition-target object is present in the input image in accordance with the feature data of the input image.

Abstract: A system and method using a text extraction application for identifying words with multiple orientations from an image are described. The text extraction application receives an input image, generates progressively blurred images, detects blobs in the blurred images, outputs ellipses over the blobs, detects a word in the input image, orients and normalizes a first version of the word, generates an inverted version of the word, performs OCR on the first version and the inverted version of the word, generates confidence scores for the first version and the inverted version of the word and outputs text associated with the word.