Abstract: An apparatus includes: a generator which generates a first pattern including a plurality of pixels having a first value, with an area of the first pattern changing in a constant cycle, and, a phase of cyclical change of the area changing based on a value of a symbol included in an inputted digital watermark information; a generator which generates a second pattern including a plurality of pixels having a second value, with an area of the second pattern changing with a frequency characteristic that is different from the cycle of change of the area; and a unit which superimposes the first and the second pattern into each image area of images in time series constituting an inputted video image to correct a value of each pixel in an image area to which the first or the second pattern is superimposed according to the first and the second value.

Abstract: A novel method is disclosed for detecting hidden information in a document comprising characters, including: determining layout transformation for each character in the document for detection compared with the original document; obtaining a code sequence embedded in the document for detection based on the layout transformation of each character in the document for detection and the predetermined embedding rule; decoding the code sequence to get the hidden information embedded in the document for detection.

Abstract: Embodiments of the disclosure provide for systems and methods for creating metadata associated with a video data. The metadata can include data about objects viewed within a video scene and/or events that occur within the video scene. Some embodiments allow users to search for specific objects and/or events by searching the recorded metadata. In some embodiments, metadata is created by receiving a video frame and developing a background model for the video frame. Foreground object(s) can then be identified in the video frame using the background model. Once these objects are identified they can be classified and/or an event associated with the foreground object may be detected. The event and the classification of the foreground object can then be recorded as metadata.

Abstract: Methods and apparatus are provided for example-based object retrieval that can retrieve objects from video images in real-time. An object of interest is identified in a sequence of images by obtaining an identification from a user of an example object having at least one attribute of interest; generating a query object based on the identified example object, wherein the query object has a substantially similar viewpoint as objects in the sequence of images and wherein the query object comprises a plurality of attributes that are substantially similar as the example object; and processing the sequence of images to identify the object of interest based on a similarity metric to the query object.

Abstract: An apparatus and method of estimating a three-dimensional (3D) position and orientation based on a sensor fusion process. The method of estimating the 3D position and orientation may include determining a position of a marker in a two-dimensional (2D) image, determining a depth of a position in a depth image corresponding to the position of the marker in the 2D image to be a depth of the marker, estimating a 3D position of the marker calculated based on the depth of the marker as a marker-based position of a remote apparatus, estimating an inertia-based position and an inertia-based orientation by receiving inertial information associated with the remote apparatus, estimating a fused position based on a weighted sum of the marker-based position and the inertia-based position, and outputting the fused position and the inertia-based orientation.

Abstract: An image processing apparatus includes a corresponding region connecting unit that connects regions that depict the same target between a series of images captured in time series, thereby sets at least one connected region; a connected region feature data calculation unit that calculates feature data of the connected region; a digest index value calculation unit that calculates a digest index value corresponding to a degree at which the target depicted in the series of images is aggregated in each image of the series of images, based on the feature data; and a digest image detector that detects a digest image based on the digest index value.

Abstract: The importance detection unit 52 detects importance of each pixel composing the original image thus acquired. In addition, the importance map generation unit 52 generates an importance map indicating distribution of the importance detected for each pixel. The characteristic region detection unit 61 detects a characteristic region of the original image, from the original image thus acquired. The determination unit 62 determines a brushstroke pattern that should be applied to the characteristic region thus detected, from at least two types of brushstroke patterns stored in a storage unit. The brushstroke pattern conversion unit 63 converts an image in the characteristic region into an image, to which the brushstroke pattern is applied, based on the brushstroke pattern thus determined. The adjustment unit 64 adjusts color of the image of the brushstroke pattern being the image in the characteristic region, based on the importance map thus generated.

Abstract: A method for determining a shift between two images, determining a first correlation in a first direction, the first correlation being derived from a first image projection characteristics and a second image projection characteristics, and a second correlation in a second direction, the second correlation being derived from the first image projection characteristics and the second image projection characteristics. The method determines a set of hypotheses from a first plurality of local maxima of the first correlation and a second plurality of local maxima of the second correlation. The method then calculates a two-dimensional correlation score between the first image and the second image based on a shift indicated in at least one of the set of hypotheses, and selecting one of the set of hypotheses as the shift between the first image and the second image based on the calculated two-dimensional correlation score.

Abstract: A system and method for determining the presence and period of dashed line lane markers in a roadway. The system includes an imager configured to capture a plurality of high dynamic range images exterior of the vehicle and a processor, in communication with the at least one imager such that the processor is configured to process at least one high dynamic range image. The period of the dashed lane markers in the image is calculated for detecting the presence of the dashed lane marker and for tracking the vehicle within the markers. The processor communicates an output for use by the vehicle for use in lane departure warning (LDW) and/or other driver assist features.

Abstract: Disclosed are methods and systems for dynamic feature detection of physical features of objects in the field of view of a sensor. Dynamic feature detection substantially reduces the effects of accidental alignment of physical features with the pixel grid of a digital image by using the relative motion of objects or material in and/or through the field of view to capture and process a plurality of images that correspond to a plurality of alignments. Estimates of the position, weight, and other attributes of a feature are based on an analysis of the appearance of the feature as it moves in the field of view and appears at a plurality of pixel grid alignments. The resulting reliability and accuracy is superior to prior art static feature detection systems and methods.

Abstract: In one aspect, the present disclosure relates to a method of detecting information transmitted by a light source in a complementary metal-oxide-semiconductor (CMOS) image sensor by detecting a frequency of light pulses produced by the light source. In some embodiments, the method includes capturing on the CMOS image sensor with a rolling shutter an image in which different portions of the CMOS image sensor are exposed at different points in time; detecting visible distortions that include alternating stripes in the image; measuring a width of the alternating stripes present in the image; and selecting a symbol based on the width of the alternating stripes present in the image to recover information encoded in the frequency of light pulses produced by the light source captured in the image.

Abstract: A method of tracking a target includes receiving from a source a depth image of a scene including the human subject. The depth image includes a depth for each of a plurality of pixels. The method further includes identifying pixels of the depth image that belong to the human subject and deriving from the identified pixels of the depth image one or more machine readable data structures representing the human subject as a body model including a plurality of shapes.

Abstract: For a thermal imaging camera (1), features are extracted from a series of at least two infrared images (10, 11) or visible images (19, 20) associated therewith by a feature analysis, and an optimal correspondence between features extracted from the images (9, 10, 19, 20) is determined, and a translation vector (18) that relates the pixels of the first infrared image (10) to pixels of the second infrared image (11) is determined for the image positions (16, 17) of the corresponding features.

Abstract: A positioning method and system for non-destructive inspection of an object include providing at least one volumetric analysis sensor having sensor reference targets; providing a sensor model of a pattern of at least some of the sensor reference targets; providing object reference targets on at least one of the object and an environment of the object; providing an object model of a pattern of at least some of the object reference targets; providing a photogrammetric system including at least one camera and capturing at least one image in a field of view, at least a portion of the sensor reference and the object reference targets being apparent on the image; determining a sensor spatial relationship and an object spatial relationship; determining a sensor-to-object spatial relationship of the at I act one volumetric analysis sensor with respect to the object; repeating the steps and tracking a displacement of the volumetric analysis sensor and the object.

Abstract: The lane mark recognition device is equipped with a lane mark detecting unit which executes a lane mark detection process in each predetermined control cycle, and adds a detection presence/absence data to a ring buffer, a detection presence/absence data addition inhibiting unit which inhibits addition of the detection presence/absence data to the ring buffer when the vehicle is traveling in the intersection, and a lane mark position recognizing unit which recognizes a relative position of the vehicle and the lane mark, when the lane mark is detected in the situation where a lane mark detection rate calculated from the data of the ring buffer is higher than a reliability threshold value.

Abstract: A data processing system configured for computer visualization of drugs for drug interaction information retrieval is disclosed. For each of multiple different substances and using a camera within the mobile or other computing device, imagery of at least one external characteristic of a physical body of the substance is acquired. An identity of each of the multiple different substances is determined based upon the at least one external characteristic from the acquired imagery. Drug interaction data is retrieved for each of the multiple different substances using the determined identities. Drug interaction data for at least one of the multiple different substances is correlated with at least one other of the multiple different substances. At least one generic substance and/or cost information of at least one of the multiple different substances is identified. The correlated drug interaction data, the at least one generic substance, and/or the cost information are displayed.

Abstract: An embodiment generally relates to systems and methods for processing license plate image data. A processing module can receive an image comprising a license plate and, from the image, localize a region of the license plate itself. The license plate region can be extracted and license plate distortion parameters can be inferred. The image can be geometrically corrected using the inferred license plate distortion parameters, and the license plate image can be iteratively sharpened to optimize the quality of the license plate image. Further, processing parameters can be modified and applied to the image data in a feedback-based loop for further optimization.

Abstract: A system and method for thinning a point cloud. In one aspect of the method, the point cloud is generated by an imaging device and data points are thinned out of the point cloud based upon their distance from the imaging device.

Abstract: Provided is an image editing program that causes an arithmetic processing unit to execute setting a recognition target image from an image included in image data as well as setting attribute information of the recognition target image, searching a frame image for the recognition target image by using the attribute information with respect to each of frames constituting the image data, and assigning image processing information regarding a processing target region determined in accordance with an image range, within a frame, of the recognition target image retrieved in the step of searching.

Abstract: A image processing apparatus includes a selection unit configured to select either first color tone conversion processing or second color tone conversion processing having a ratio of red wavelength component set lower than either blue wavelength or green wavelength components with respect to the first color tone conversion processing, and a color tone conversion unit configured to convert a color of a fundus image by the selected color tone conversion processing.

Abstract: An image processing apparatus includes a distance information calculator that calculates distance information corresponding to a distance to an imaging object at each of portions in an image; a feature data calculator that calculates feature data at each portion in the image; a feature data distribution calculator that calculates a distribution of the feature data in each of regions that are classified according to the distance information in the image; a reliability determining unit that determines the reliability of the distribution of the feature data in each of the regions; and a discrimination criterion generator that generates, for each of the regions, a discrimination criterion for discriminating a specific region in the image based on a determination result of the reliability and the distribution of the feature data in each of the regions.

Abstract: An arrangement and methods for firing a fire arm. The fire arm includes a determining unit configured to determine a movement of an aim point for the fire arm relative to a target. A processing unit is configured to determine a target point for the aim point based on the movement of the aim point relative to the target and to predict the future movement of the aim point. A firing unit is configured to fire the fire arm when the aim point is predicted to be within a tolerance of the target point.

Abstract: The present invention encompasses software that brings together computer vision and machine learning algorithms that can evaluate and sort plants into desired categories. While one embodiment of the present invention is directed toward strawberry plants, the software engine described is not specifically designed for strawberry plants but can be used for many different types of plants that require sophisticated quality sorting. The present invention is a sequence of software operations that can be applied to various crops (or other objects besides plants) in a re-usable fashion.

Abstract: An biometric-information processing device includes a biometric-information acquiring unit that generates a biometric image representing biometric information on a surface of a specific portion of a user; a divider that divides the biometric image into multiple blocks; a prior-complexity-degree estimator that estimates, for each of the multiple blocks, a prior complexity degree indicating complexity of a pattern of part included in the biometric information and represented in the block, on a basis of a difference between a direction of the pattern of the part included in the biometric information and represented in the block and a direction of a pattern of other part included in the biometric information and represented in the block adjacent to that block; a posterity-complexity-degree determiner that determines, for each of the multiple blocks, a posterior complexity degree indicating complexity of an image of the part included in the biometric information and represented in the block.

Abstract: An approach is provided for determining potential movement disorder using sensor data. The health and wellness engine processes and/or facilitates a processing of one or more sequences of images to identify one or more reference objects, the one or more sequences of images captured via a device physically attached to a user. The health and wellness engine determines movement information of the one or more reference objects within the one or more sequences of images, wherein the movement information is at least substantially attributable to one or more physical movements of the user. The health and wellness engine processes and/or facilitates a processing of the movement information to cause, at least in part, a determination of one or more potential movement disorders associated with the user.

Abstract: A method of processing a blood vessel image is provided. The method includes (a) sharpening an original blood vessel image using a Gabor filter in consideration of various directions and thicknesses of blood vessels included in the blood vessel and (b) detecting edges according to a change in brightness in a blood vessel domain and a non-blood vessel domain of the original blood vessel image and the blood vessel image on which the Gabor filtering step is completed, using an edge extraction method based on a first-order differentiation or second-order differentiation.

Abstract: Systems and methods for movement and position training of a human body are provided. An image capture device such as a still camera or video camera captures an image or video of a human body in a selected position or sequence of positions relating to a movement. The position or movement may relate to a physical activity, such as running, jumping, throwing or swinging. The image is then presented to a user on a display, where the user may select one or more positions of the human body for analysis. Upon selecting a position, an angle of the position is determined and then compared to a desired angle determined through known biomechanical measurements. The difference between the two angles is calculated, and the user is then presented with feedback, such as a corrective action, to aid the user in reducing the difference between the measured angle and the desired angle.

Abstract: A method includes a) loading a first number n of image sets with an image size ky, the ky images of which are distributed in a regular manner over a volume, which is to be loaded in its entirety as a result; b) loading a number nx of image sets starting with a factor x=1, with the images loaded in total being distributed in a regular manner over the volume; c) determining a camera distance and voxel size based on the number of images loaded, a camera distance and voxel size being suitable as parameters for a volume rendering; and d) repeating the two preceding steps b) and c) while increasing the number of image sets with a factor x=x+1, until all the images of the volume have been loaded in their entirety and/or until the step sequence ends.

Abstract: The disclosure herein provides beneficial systems, methods, devices, and apparatuses that enhance and/or analyze images, and that can be configured to provide users an assessment and/or recommendation based on the enhanced and/or analyzed images. In an embodiment related to medicine, the assessment and/or recommendation is based on a patient situation, dimensions of patient organs/lumens, or the like in order to achieve personalized medicine.

Abstract: A flow pattern in a tube system is calculated from acquired image data. From the flow pattern virtual image data are generated and compared with the acquired data in order to determine a quality measure for the usability of the generated flow pattern at characteristic locations.

Abstract: In accordance with at least some embodiments of the present disclosure, a process for enhancing a motion-blurred image is presented. The process may include obtaining a prior image based on a plurality of projections, wherein the plurality of projections are computed tomography (CT) images obtained in multiple motion phases. The process may further include performing an enhancement operation based on the prior image to generate an enhanced prior image, generating a plurality of re-projections by forward-projecting the enhanced prior image, generating a plurality of phase-correlated difference images based on the plurality of projections and the plurality of re-projections, filtering the plurality of phase-correlated difference images to generate a plurality of filtered phase-correlated difference images, and generating a plurality of phase-correlated images based on the plurality of filtered phase-correlated difference images and the enhanced prior image.

Abstract: Methods, and systems therefrom, for generating images from time of flight (TOF) data associated with a scan of at least one object using a positron emission tomography system are provided. The method includes providing initial values for an activity image to yield a current activity image. The method also includes estimating initial values for an attenuation map (?-map) image based on the TOF data to yield a current ?-map image. The method further includes repeating, until at least one termination condition is met, the steps of updating the current activity image based on at least the current ?-map and a first update algorithm and updating the current ?-map image based on at least on the updated activity image and a second update algorithm. The method also includes outputting an image of the at least one object based on the current ?-map and the current activity image.

Abstract: A system and method are provided for using a first vascular image, or more particularly a plurality of control points located thereon, to identify a border on a second vascular image. Embodiments of the present invention operate in accordance with an intra-vascular ultrasound (IVUS) device and a computing device electrically connected thereto. In one embodiment, the computing device includes a plurality of applications operating thereon that are used to (I) identify a border and control points on a first IVUS image (i.e., any IVUS image), (ii) extrapolate the control points to a second IVUS image (i.e., another IVUS image), (iii) identify a border on the second IVUS image, and (iv) adjust the border on the second IVUS image in accordance with at least one factor.

Abstract: For filtered back-projection of a projection image data set, the projection image data set is cosine-weighted. The cosine-weighted projection image data set within the image plane of the projection image data set is subjected to a two-dimensional Radon transformation. The Radon transform of the cosine-weighted projection image data set differentiated with respect to the distance from an image origin of an image coordinate system. The derivative of the Radon transform is redundancy-weighted. The redundancy-weighted derivative is subjected to a two-dimensional Radon back-transformation. The Radon back-transform is differentiated and back-projected with respect to an image column coordinate. A differentiation step width entering into the differentiation is varied depending on depth.

Abstract: A control portion (140) detects pressure information fluctuations applied to a radiation sensor portion (120), acquires a radiation image and an offset image from the radiation sensor portion (120) based on the detected pressure information fluctuations, and makes offset correction of the acquired radiation image using the acquired offset image.

Abstract: In order to provide a reconstruction computing device, a reconstruction computing method, and an X-ray CT apparatus capable of improving the image quality while reducing the amount of computation when reconstructing an X-ray CT image using an iterative method, a reconstruction computing device divides an initial image 50 reconstructed using an analytical method such as an FBP method into a bed region 51, an object region 52, and the other air region 53, sets reconstruction conditions including at least convergence conditions and a pixel size for each of the divided regions, updates estimation images by performing an iterative process, and fixes estimation images or forward projection data of a subset satisfying the convergence conditions until other subsets satisfy the convergence conditions.

Abstract: A fluoroscopy device includes a light source that irradiates an observation site with excitation light and white light; a fluorescence-image generating section that acquires a fluorescence image by capturing fluorescence generated in the observation site irradiated with the excitation light; a reference-image generating section that acquires a reference image by capturing return light returning from the observation site irradiated with the white light; an observation-condition determining section that determines the observation conditions of the observation site on the basis of the reference image acquired by the reference-image generating section; a preprocessing section that corrects gradation values of the reference image on the basis of the observation conditions of the observation site; and a fluorescence-image correcting section that generates a corrected fluorescence image by dividing the fluorescence image acquired by the fluorescence-image generating section by the reference image whose gradation val

Abstract: Techniques for processing an image of a check captured using a mobile device are provided. The check image is processed to determine whether the check can be deposited at a bank via a mobile deposit process. The system can identify regions of the check—such as the endorsement area—to determine if the check has been properly endorsed. The system can be implemented on a mobile device and/or a server, where the mobile device routes the check image to the server for processing. If the check cannot be deposited, a rejection is forwarded in real time to the mobile device for possible correction.

Abstract: Disclosed is a method for manufacturing a conductive film in which a mesh pattern comprising a wire material is provided on a base material. Also disclosed are a conductive film and a recording medium. Image data representing a mesh pattern is created on the basis of a plurality of selected positions. On the basis of said image data, an evaluation value which quantifies noise characteristics of the mesh pattern is computed. On the basis of the computed evaluation value and prescribed evaluation conditions, one image datum is chosen as an output image datum.

Abstract: Manufacturing lines include inspection systems for monitoring the quality of parts produced. Manufacturing lines for making semiconductor devices generally inspect each fabricated part. The information obtained is used to fix manufacturing problems in the semiconductor fab plant. A machine-vision system for inspecting devices includes a flipper mechanism. After being inspected at a first station, a tray-transfer device moves the tray from the first inspection station to a flipper mechanism. The flipper mechanism includes two jaws, a mover, and a rotator. The flipper mechanism turns the devices over and places the devices in a second tray so that another surface of the device can be inspected. A second tray-transfer device moves the second tray from the flipper to a second inspection station. The mover of the flipper mechanism removes the tray from the first inspection surface and places a tray at the second inspection surface.

Abstract: A method includes generating, using a data processor, information showing variations of a parameter across a photo mask relative to an average value of the parameter measured at various locations on the photo mask. For example, the information can include data points, and each data point can be determined based on a ratio between a measurement value and an average of a plurality of measurement values.

Abstract: A system for providing visualization of semiconductor wafer inspection data acquired during in a photovoltaic cell production process includes a display device, a user interface device, and a computer control system configured for: receiving one or more inspection data sets acquired from each of a plurality of semiconductor wafers using a plurality of wafer process tools of a photovoltaic cell production line; generating an aggregated hierarchical wafer data gallery utilizing the received one or more inspection data sets; and displaying at least a portion of the aggregated hierarchical wafer data gallery in the gallery display area of the display device.

Abstract: A 2D to 3D image conversion apparatus includes a data queue, a conversion unit and an offset calculation unit. The data queue receives and temporarily stores an input data value corresponding to a current pixel. The conversion unit outputs a current offset table corresponding to a current depth parameter of the current pixel. The current offset table includes (m+1) reference offsets corresponding to the current pixel and neighboring m pixels. The offset calculation unit selects one of the reference offsets corresponding to the current pixel in the current offset table and multiple previous offset tables as a data offset corresponding to the current pixel. The data queue selects and outputs an output data value corresponding to the current pixel according to an integer part of the data offset and the input data value.

Abstract: A system and method for computing a place profile are disclosed. The method includes providing a geographical definition of a place, retrieving a set of images based on the geographical place definition. With a classifier, image-level statistics for the retrieved images are generated. The classifier has been trained to generate image-level statistics for a finite set of classes, such as different activities. The image-level statistics are aggregated to generate a place profile for the defined place which may be displayed to a user who has provided information for generating the geographical definition or used in an application such as a recommender system or to generate a personal profile for the user.

Abstract: An apparatus and method for generating a High Dynamic Range (HDR) image from which a ghost blur is removed based on a multi-exposure fusion. The apparatus may include an HDR weight map calculation unit to calculate an HDR weight map for multiple exposure frames that are received, a ghost probability calculation unit to calculate a ghost probability for each image by verifying a ghost blur for the multiple exposure frames, an HDR weight map updating unit to update the calculated HDR weight map based on the calculated ghost probability, and a multi-scale blending unit to generate an HDR image by reflecting the updated HDR weight map to the multiple exposure frames.

Abstract: An image processing apparatus includes a searcher. A searcher searches for a partial image expressing a sentence on a color image. A first designator designates the color image as a recorded image when a search result of the searcher indicates “non-detected”. A second designator designates a single-color N graduation image (N: an integer of 3 or more) that is based on the color image, as the recorded image, when a ratio of the partial image detected by the searcher falls below a reference. A third designator designates a binary image that is based on the color image, as the recorded image, when the ratio of the partial image detected by the searcher is equal to more than a reference.

Abstract: The invention proposes a method and a device of determining a saliency map for an image. The proposed method uses a processing device for executing the steps of: selecting one of at least two different predetermined weight sets each associated with the predetermined scene category by determining to which of the predetermined scene categories a scene depicted in the image belongs, each predetermined weight sets comprising weights for colour dependent subbands, splitting the image into colour dependent frequency subbands and orientation subbands by splitting the image into colour components and applying wavelet transformation to each colour component, determining early feature maps for the subbands by extracting visual features from the wavelet transforms by a center-surround mechanism based on a Difference of Gaussian, weighting the early feature maps using the selected weight set and fusing the weighted feature maps.

Abstract: A video searching method includes: providing a database for storing the data of a video, wherein the data of the video includes the colors of at least a key frame; providing a searching interface for an user uploading a key picture; providing a recording unit for recording the colors of the key picture; providing a performing unit for comparing the colors of the key frame and the key picture to judge whether a similar color exists; the performing unit computing the value of the colors if there exists a similar color; the performing unit sifting the video by comparing a threshold value and the value of the colors; and the performing unit sorting the video by the value of the colors to obtain a result list. By comparing the value of the colors between the key picture and the key frame, the result list is simply and quickly obtained.

Abstract: An image encoding system and an image encoding method are provided. The image encoding system comprises a relation computing unit and an embedded unit. The relation computing unit receives a plurality of view-angle images each comprising a plurality of pixels, and calculates a relative relationship between pixels according to their colors and locations of the pixels to generate a plurality of encoding images. The embedded unit respectively embeds the encoding images in the view-angle images to generate a plurality of embedded images.

Abstract: An HTML file for making a browser adapted to a canvas element in HTML5 perform a process of color conversion of a specified image with specified characteristics and display the converted image at high speed. In the process of carrying out color conversion of the specified image with specified characteristics and displaying the converted image, an algorithm is employed such that data manipulation on a pixel-by-pixel basis is not instructed from the HTML file to the browser, but instead a plurality of instructions are given to overwrite an entire area of a bitmap image as original image data, and data derived therefrom are expanded onto a canvas uniformly with color of an appropriate brightness value and transparency.