Abstract: The methods, devices, and systems may allow a practitioner to obtain information regarding a biological sample, including analytical data, a medical diagnosis, and/or a prognosis or predictive analysis. The method, devices, and systems may provide a grade or level of development for identified diseases. In addition, the methods, devices and systems may generate a confidence value for the predictive classifications generated, which may, for example be generated in a format to show such confidence value or other feature in a graphical representation (e.g., a color code). Further, the methods, devices and system may aid in the identification and discovery of new classes and tissue sub-types.

Abstract: A method and apparatus for processing a multi-view image is provided. The method includes: extracting disparity information between an image of a first point of view and an image of a second point of view; and estimating a motion between two sequential images of the first point of view or the second point of view using the extracted disparity information. The apparatus may include a processor which is configured to extract disparity information between an image of a first point of view and an image of a second point of view in the multi-view image and is further configured to estimate a motion using the extracted disparity information between two sequential images of the first point of view or the second point of view.

Abstract: In an image processing apparatus, an image pickup unit takes images of an object including the face of a person wearing the glasses by which to observe a stereoscopic image that contains a first parallax image and a second parallax image obtained when the object in a three-dimensional (3D) space is viewed from different viewpoints. A glasses identifying unit identifies the glasses included in the image of the object taken by the image pickup unit. A face detector detects a facial region the face of the person included in the image of the object taken by the image pickup unit, based on the glasses identified by the glasses identifying unit. An augmented-reality special rendering unit adds a virtual feature to the facial region of the face of the person detected by the face detector.

Abstract: A wrinkle care support device includes: a wrinkle change detector that detects a change made in a wrinkle after occurrence of the wrinkle, the wrinkle having occurred in skin by provision of predetermined stimulation; a wrinkle care information determiner that determines, based on the detected change, user presentation information relating to wrinkle care; and an information outputter that outputs the determined user presentation information. Note that the wrinkle care support device may further include: an image obtainer that obtains an image where the skin is photographed; and a wrinkle detector that detects the wrinkle from the obtained image. The detection of the change may include a detection of a wrinkle disappearing time starting from when the predetermined stimulation is provided until the wrinkle is no longer detected.

Abstract: A method and system for matching an unknown facial image of an individual with an image of a celebrity using facial recognition techniques and human perception is disclosed herein. The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar faces to the user The system features classification of unknown facial images from a variety of internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. Once classified, the matching person's name, image and associated meta-data is sent back to the user. The method and system uses human perception techniques to weight the feature vectors.

Abstract: A tracking and recognition system is provided. The system includes a computer vision-based identity recognition system configured to recognize one or more persons, without a priori knowledge of the respective persons, via an online discriminative learning of appearance signature models of the respective persons. The computer vision-based identity recognition system includes a memory physically encoding one or more routines, which when executed, cause the performance of constructing pairwise constraints between the unlabeled tracking samples. The computer vision-based identity recognition system also includes a processor configured to receive unlabeled tracking samples collected from one or more person trackers and to execute the routines stored in the memory via one or more algorithms to construct the pairwise constraints between the unlabeled tracking samples.

Abstract: Methods and apparatus delineate grouped together content in documents. Void and unvoid pixels in document images get clustered together. Execution of a histogram and autocorrelation function, including peak detection, against the unvoid clusters reveals the content. Techniques for clustering include iteratively transforming an original image into secondary images with a Haar wavelet transformation, for example. Clustering begins on a lowest image plane and advances to a next highest plane until all void and unvoid pixels in the images are grouped. Void clusters at lower levels remain void clusters at higher levels, thus only unvoid clusters of pixels require processing at higher levels thereby optimizing processing. Imaging devices with scanners define suitable hardware for transformation of the document into images and processors with executable code cluster together pixels to delineate content. Further processing includes executing OCR or other routines post void/unvoid analysis.

Abstract: The present invention discloses a method for identifying PDF document. wherein, it comprises the following steps: S1: analyzing the path objects in the PDF document, and identifying the forms in PDF document; S2: analyzing the text objects outside the form regions in the PDF document, and recognizing the text contents in the PDF document; S3: writing the identified results into a temporary file, or writing them into the PDF document as an attachment. The method for identifying PDF document provided by the present invention could identify the tables, the paragraphs, titles, the tabulations and so on in the PDF document, thereby, the PDF document can be edited with the paragraph as a unit, and be tagged conveniently to confirm the reading order, so as to facilitate the reading of people with visual impairment; in the same time, it also can derive document in other forms according to the identified results, which thereby greatly facilitates users to read and edit the PDF document.

Abstract: The present disclosure relates to systems and processes for providing vector map data for generating a view of a map in a mapping application. In one example process, a request for a vector map sub-tile can be received by a map server. The map server can identify a pre-generated vector map tile corresponding to the requested vector map sub-tile and can generate the requested vector map sub-tile from the identified vector map tile by dividing the vector map tile into two or more vector map sub-tiles. In some examples, dividing the vector map tile into multiple vector map sub-tiles can include identifying features and attributes of the vector map tile that should be included in the requested vector map sub-tile and generating the requested vector map sub-tile to include these features and attributes. The map server can then transmit the requested vector map sub-tile to the requesting electronic device.

Abstract: A mobile terminal iris recognition device having a human-computer interaction mechanism, the device includes a human-computer interaction module, an image acquisition module, an iris image analysis and processing module, a feedback control module and a power supply module. Also provided is an iris recognition method utilizing the device. Compared with the related art, the method has great improvement in such aspects as miniaturization, mobility and usability, is provided with a mobile terminal iris recognition function with an active visual, tactile and auditory interaction mechanism, and also has the advantages of high accuracy of iris recognition, low power consumption, reasonable structural layout, strong interaction functions and the like.

Abstract: A system for guided geospatial image capture, registration and 2D or 3D mosaicking, that employs automated imagery processing and cutting-edge airborne image mapping technologies for generation of geo-referenced Orthomosaics and Digital Elevation Models from aerial images obtained by UAVs and/or manned aircraft.

Abstract: A hybrid estimator system using visual and inertial sensors for real-time pose tracking on devices with limited processing power using at least one processor, a memory, a storage and communications through a protocol and one or more than one software module for a hybrid estimator, real-time algorithm selection to process different measurements, statistical learning for these characteristics to compute the expected device computing cost of any strategy for allocating measurements to algorithms, and algorithm selection based on the statistical learning module.

Abstract: The present invention is directed to new methods of determining elongation, tension and applied pressure of elastic bandages comprising tension indicators. In one embodiment, a computer-implemented method of detecting elongation of an elastic bandage (e.g. on a mobile computing device having a processor and graphical user interface) is described. The method comprises receiving image data that includes a digital photograph of an elongated tension indicator of an elastic bandage; analyzing the image data to determine elongation of the elastic bandage by comparing geometric features of the elongated tension indicator to model geometric features that define a predetermined elongation state (such as an unelongated state); and providing output indicia associated with the determined elongation. Also described are various articles, some of which are intermediate articles of the methods described herein.

Abstract: Architecture that detects entrances on building facades. In a first stage, scene geometry is exploited and the multi-dimensional problem is reduced down to a one-dimensional (1D) problem. Entrance hypotheses are generated by considering pairs of locations along lines exhibiting strong gradients in the transverse direction. In a second stage, a rich set of discriminative image features for entrances is explored according to constructed designs, specifically focusing on properties such as symmetry and color consistency, for example. Classifiers (e.g., random forest) are utilized to perform automatic feature selection and entrance classification. In another stage, a joint model is formulated in three dimensions (3D) for entrances on a given facade, which enables the exploitation of physical constraints between different entrances on the same facade in a systematic manner to prune false positives, and thereby select an optimum set of entrances on a given facade.

Abstract: A video extraction method and device. The method includes acquiring original image resolution S0 of a Tth frame in which a target image corresponding to a target object is located, where T is a positive integer, and acquiring a resolution parameter P of the target image in the Tth frame, obtaining extraction resolution S1 according to the original image resolution S0 and the resolution parameter P, and extracting an image of the target object in a (T+1)th frame according to the extraction resolution S1. In this way, when extraction processing is performed on the target object in the (T+1)th frame, extraction processing is performed on the target image corresponding to the target object in the (T+1)th frame with reference to the extraction resolution, which is obtained through analysis, of the (T+1)th frame.

Abstract: A computer implemented method includes extracting one or more portions from a first video stream of a first physical environment; transmitting captured video data via a first communication link to one or more electronic display devices disposed within a second physical environment, wherein the captured video data includes the one or more extracted portions and the captured video data includes a preview portion that includes a first portion of a frame of the first video stream; and transmitting a second video stream of a second field of view of the first physical environment to at least one of the one or more electronic display devices disposed within the second physical environment via a second communication link, wherein the second video stream is generated in response to a selection of the preview portion of the captured video data made by a user located in the second physical environment.

Abstract: A method and apparatus of providing a combined summary by receiving monitored audio and video are provided The method includes: receiving audio and video captured by at least one network camera; generating a video summary by detecting at least one video event from at least one of the audio and the video; generating an audio summary by detecting at least one audio event from at least one of the audio and the video; extracting at least one section of the video summary corresponding to the at least one audio event, and storing the extracted at least one section of the video summary with the audio summary; and providing a display of the video reproducing apparatus with a video summary control interface for controlling the video summary and an audio summary control interface for controlling the audio summary.

Abstract: A method is described for determining a body parameter of a person outside a vehicle. The method may include capturing a first set of data of the person by a first data capturing device of the vehicle, the captured first set of data representative of a first body posture of the person, capturing a second set of data of the person by a second data capturing device of the vehicle, the captured second set of data representative of a second body posture of the person different from the first body posture, and using the first and second sets of data as input for estimation of the body parameter of the person. Use of a data capturing device of a vehicle is also described, and optionally a distance measurement system of the vehicle, for determining a body parameter of a person according to the method.

Abstract: The present application provides an obstacle detection system and method thereof. The obstacle detection method comprises: obtaining a first image captured by a camera at a first time point; identifying a vertical edge candidate in the first image, and measuring a first length of the vertical edge candidate based on the first image; obtaining a second image captured by the camera at a second time point; measuring a second length of the vertical edge candidate based on the second image; calculating a difference between the first length and the second length; and comparing the difference with a predetermined length difference threshold, if the difference is greater than the length difference threshold, outputting a message that an obstacle is found.

Abstract: The present invention provides a vehicle control method for driving safety, including: a first step of photographing an infrared image and a visible ray image; a second step of transmitting the photographed infrared image and visible ray image to an image recognizing and comparing module; a third step of leaving only a frequency for an edge of the infrared image and the visible image using a high pass filter, in the image recognizing and comparing module; and a fourth step of comparing a frequency band distribution processed in the third step to determine the situation as a situation which has a difficulty to secure a clear view when a difference is equal to or higher than a predetermined level.

Abstract: To detect a distant object that may become an obstacle to a traveling destination of a moving vehicle or the like more accurately than the conventional, there is provided a detecting device, a program used in the detecting device, and a detecting method using the detecting device, where the detecting device includes: an acquisition section for acquiring two or more images captured in two or more imaging devices provided at different heights; and a detection section for detecting a rising portion of an identical object toward the imaging devices based on a difference between the lengths of the identical object in the height direction in the two or more images.

Abstract: To detect a distant object that may become an obstacle to a traveling destination of a moving vehicle or the like more accurately than the conventional, there is provided a detecting device, a program used in the detecting device, and a detecting method using the detecting device, where the detecting device includes: an acquisition section for acquiring two or more images captured in two or more imaging devices provided at different heights; and a detection section for detecting a rising portion of an identical object toward the imaging devices based on a difference between the lengths of the identical object in the height direction in the two or more images.

Abstract: There are provided an image capture portion, a luminance acquisition section, a luminance estimation section, and a capture mode setup section. The image capture portion cyclically captures a vehicle compartment. The luminance acquisition section acquires the luminance of a captured image captured by the image capture portion. The luminance estimation section estimates a cyclic change in the luminance of captured images to be captured subsequently. The capture mode setup section settles a capture mode for the image capture portion based on a result of estimating the cyclic change in the luminance of captured images.

Abstract: A sensor test system may include a controller coupled to at least one test device and a sensor, the controller configured to receive test instructions including a plurality of test sequences, instruct at least one display unit to display an item based on the test sequences, receive response data from the test device indicative of a driver behavior, the response data including timing information and test device information, compile the response data based on the timing information and the test device information, receive sensor data acquired by the sensor during the test sequences, compare the compiled response data to the sensor data, and determine an accuracy of the sensor based on the comparison.

Abstract: A method quickly recognizes a person by identification codes derivable from biometric data includes registering and recognizing at least one user from multiple registered users by a recognition event. Each user registration event includes acquiring from biometric data correlated to a configuration of the user's blood vessels. Acquired biometric data is encoded into a respective registration identification code associated to the user. The user is registered the associated registration identification code is registered. Each recognition event includes acquiring the biometric data correlated to the user's blood vessels. The acquired biometric data is coded into a respective recognition identification user code. Based on the registered identification codes, a comparison set of comparison identification codes is prepared. Then the recognition identification code is compared with each comparison identification code. A respective matching level for each comparison is estimated.

Abstract: The optical character recognition method applies a first OCR engine to provide an identification of characters of at least a first type of characters and zones of at least a second type of characters in the character string image. A second OCR engine is applied on the zones of the at least second type of characters to provide an identification of characters of a second type of characters. The characters identified by the first OCR engine and by the second OCR engine are in a further step combined to obtain the identification of the characters of the character string image.

Abstract: A non-interactive screen sharing session executing within a computing device can be identified. The device can be communicatively linked to different computing devices of the screen sharing session. The contents of the remote screen buffer can be analyzed to determine a graphical representation of a Uniform Resource Locator (URL) within the contents prior to presenting the contents of the buffer within the device. A visible information item can be extracted and a non-visible reference can be established from the representation. An area surrounding the representation including a position and dimensions of the representation within the contents can be determined. The representation of the URL can be replaced with an interactive element in real-time. The element can include the visible and non-visible reference. The contents of the buffer can be presented within an interface associated with the session of the device, responsive to the replacing.

Abstract: A system includes a processor configured to obtain an image of a vehicle plate. The processor is also configured to determine identification characters present in the image. The processor is further configured to compare the identification characters to a list of sought-vehicle plates and report a match between the identification characters and a plate on the list of sought-vehicle plates.

Abstract: Provided are a method and an apparatus for recognizing a tire by using an image of a tire captured by using a terminal. The apparatus recognizes a tire by converting an image of a round tire included in the image into a linear image, extracting an area of a character to be recognized from the linear image, and determining a character for learning, which is most similar to the extracted area of the character to be recognized from among a pre-constructed group of characters for learning, as a character in the area of the character to be recognized.

Abstract: A computing system receives user input of scheduling problem data. The scheduling problem data relates to a scheduling problem and includes one or more stations and tasks to be performed by at least one station. The computing system constructs a graph problem using the scheduling problem data. The graph problem includes a graph. The computing system cuts the graph into sub-graphs using a cut algorithm to create a cut result that satisfies a threshold and identifies one or more task exceptions from the sub-graphs in the cut result. The one or more task exceptions are tasks that can be assigned to more than one sub-graph. The computing system creates scheduling sub-problems pertaining to the one or more task exceptions using the cut result.

Abstract: Systems and methods for processing images to recognize characters. Such may include locating background in an image which separate lines of characters, and then locating background which separate characters. The inter-character spaces within a line may be used to determine a probable inter-character spacing for the characters. Within each detected line, the character having an inter-character spacing most similar to the probable inter-character spacing may be set as a starting character for classification. Using the probable inter-character spacing and the location of the starting character, the location of a character adjacent to the starting character in a first direction may be determined and the character classified. Such process may repeat in the first direction until a first end of the line is reached. The process may then move to a character adjacent the starting character in a second direction and repeat until a second end of the line is reached.

Abstract: The accuracy of an image matching process can be improved by determining relevant swatch regions of the images, where those regions contain representative patterns of the items of interest represented in those images. Various processes examine a set of visual cues to determine at least one candidate object region, and then collate these regions to determine one or more representative swatch images. For apparel items, this can include locating regions such as an upper body region, torso region, clothing region, foreground region, and the like. Processes such as regression analysis or probability mapping can be used on the collated region data (along with confidence and/or probability values) to determine the appropriate swatch regions.

Abstract: A feature amount generation device includes a feature point detecting unit which detects a feature point from an input image, a pixel information generating unit which generates pixel information from pixel values of the surroundings of the feature point in the input image, a feature point pixel information distribution generating unit which generates a first distribution of pixel information of a first region including the feature point, a sub-feature point detecting unit which detects sub-feature points that are feature points in the surroundings of the feature point, a sub-feature point pixel information distribution generating unit which generates second distributions of pixel information of second regions including the sub-feature points, and a feature amount generating unit which generates a feature amount at the feature point based on the first distribution and the second distributions.

Abstract: Provided is an apparatus for measuring a distance change, the apparatus including an information acquisition unit, an object determination unit, a feature point determination unit, an optical flow calculator, a matching point determination unit, an object length change calculator that calculates a length change ratio between an object of a first frame image and an object of a second frame image by using a feature point and a matching point, and a distance change calculator that calculates a change from a distance between a camera and the object from when the camera acquires the first frame image and when the camera acquires the second frame image using the calculated length change ratio.

Abstract: A feature amount acquisition unit divides input image data into blocks each including a plurality of pixels and acquires the feature amounts of the blocks. A first detection unit detects a pair of two blocks whose feature amounts are approximate to each other and extract a first aggregate area in which one block of each of the pairs gathers and a second aggregate area in which the other block of each of the pairs gathers from the input image data. A second detection unit performs additional detection of adding a block adjacent to the first aggregate area to the first aggregate area, and adding a block adjacent to the second aggregate area to the second aggregate area.

Abstract: A system for detecting a hitch angle between a vehicle and a trailer is provided herein. An imaging device is configured to capture images of the trailer and a controller is configured to process images captured by the imaging device. The controller derives a template image and rotates the template image relative to a search image about an imaged hitch point that is common to the template image and the search image. The location of the imaged hitch point corresponds to a selected one of a number of candidate hitch point locations. The hitch angle is determined based on an angle at which the template image is rotated relative to the search image to generate a match therebetween.

Abstract: Systems and methods for detecting image anomalies include extracting one or more detected images from a submission file received from at least one computing device and generating an image identification (ID) for each of the one or more images. One or more image quality indices are determined for the submission file based on at least one of predetermined image features, an image type of the one or more images, and submission file attributes, and one or more image anomalies associated with the one or more images of the submission file are detected based on at least one of the image ID and the one or more image quality indices.

Abstract: Image processing apparatus includes a local amount generation unit, a correspondence point calculation unit, a relative correspondence point information calculation unit, a correspondence point selecting unit and a decision unit. The local feature value generation unit calculates, for a first image, a set of information about first local feature values including a first feature point(s). The correspondence point calculation unit calculates, for a second image, as information about correspondence point(s), a correspondence relation between the first and second feature point(s) contained in a set of information about second local feature values calculated from the second image.

Abstract: A method for recognizing a target object in an image, and an apparatus, where the method includes extracting feature data from an image, and transforming the extracted feature data into a uniform expression, performing automatic clustering for features in the image according to the feature data in the uniform expression and a historical clustering result, grouping a target object of a known class included in an automatic clustering result into the corresponding known class, in order to recognize a target object of the known class in the image, and training a classifier in a machine learning manner, for a target object of an unknown class included in the automatic clustering result, in order to recognize a target object of an unknown class in the image. In the embodiments of the present invention, recognizing a target object of an unknown class can be implemented.

Abstract: A control method for a robot cleaner includes acquiring a plurality of images of surroundings during travel of the robot cleaner in a cleaning area, estimating a plurality of room-specific feature distributions according to a rule defined for each of a plurality of rooms, based on the images acquired while acquiring the plurality of images, acquiring an image of surroundings at a current position of the robot cleaner, obtaining a comparison reference group including a plurality of room feature distributions by applying the rule for each of the plurality of rooms to the image acquired while acquiring the image at the current position, comparing the obtained comparison reference group with the estimated room-specific feature distributions, and determining a room from the plurality of rooms having the robot cleaner currently located therein.

Abstract: A biometric information registration device includes: a memory; and a processor coupled to the memory and configured to: collect a plurality of biometric information extracted from a plurality of images of a subject, classify a posture of the subject in each of the plurality of images into one of a plurality of classes, count a number of postures that corresponds to each of the plurality of classes, and store biometric information, from among the plurality of biometric information, associated with a certain class for which the number exceeds a threshold.

Abstract: A method and a system for recognizing faces have been disclosed. The method may comprise: retrieving a pair of face images; segmenting each of the retrieved face images into a plurality of image patches, wherein each patch in one image and a corresponding one in the other image form a pair of patches; determining a first similarity of each pair of patches; determining, from all pair of patches, a second similarity of the pair of face images; and fusing the first similarity determined for the each pair of patches and the second similarity determined for the pair of face images.

Abstract: A system that identifies attributes of an item depicted in an image using artificial intelligence is provided. For example, the system may use one or more deep belief networks (DBNs) or convolution neural networks (CNNs) trained to analyze images and identify attributes in items depicted in the images. A first artificial intelligence module may analyze an image to determine a type of item depicted in the image. The system may then select a second artificial intelligence module that is associated with the type of item and use the second artificial intelligence module to identify attributes in the item depicted in the image. Identified attributes, if associated with a confidence level over a threshold value, may be provided to a user. The user may provide feedback on the accuracy of the identified attributes, which can be used to further train the first and/or second artificial intelligence modules.

Abstract: A printer color calibration method includes obtaining first chart printing material by performing the chart printing with a first printer, setting first color data by obtaining the color data measuring the first chart printing material with a second printer, obtaining second chart printing material by performing the chart printing with the second printer, setting second color data by obtaining the color data measuring the second chart printing material with the second printer, and obtaining correction data that is used by the second printer in order for printing output of the second printer to substantially match with printing output of the first printer based on the first color data and the second color data.

Abstract: A control apparatus includes a storing unit, a determining unit, a first notification unit, a selection unit, and a second notification unit. The storing unit stores attribute information of sheets to be stored in sheet holding units. The determining unit determines whether attribute information of sheets to be used by a job corresponds to the stored sheet attribute information. The first notification unit notifies, in a case where the determining unit determines that the attribute information does not correspond, a user that the attribute information does not correspond to the sheet attribute information. The selection unit selects the stored sheet attribute information to change the attribute information of sheets to be used by the job. The second notification unit notifies, in accordance with selection of the sheet attribute information, the user that the attribute information of sheets to be used by the job corresponds to the stored sheet attribute information.

Abstract: An image forming system includes an image forming apparatus and a server. The image forming apparatus transmits to the server image data representing an image. The image is read by the reading device from the recording medium on which the print device prints the image, in response to an instruction to print at the origin of the print area. The server acquires, from the image data transmitted from the image forming apparatus, a printing-complete reference position, as a position where the recording-medium origin is made a reference, in a location printed on the recording medium by the image forming apparatus in response to an instruction to execute printing at the print-area origin, and acquires the displacement as a difference between the acquired printing-complete reference position and the print reference position stored in the storage device.

Abstract: In a case where a plurality of users share the use of one mobile terminal, an image forming apparatus has performed authentication printing also on image data to which the previous owner of the mobile terminal has sent a printing instruction. According to the present embodiment, an image forming apparatus includes a data reception unit configured to receive data having a device ID of a mobile terminal and user information for identifying a user of the mobile terminal, and includes an authentication information reception unit configured to receive authentication information including the device ID and the user information from the mobile terminal. The image forming apparatus also includes a print control unit configured to control, in response to the reception of the authentication information, a printer to print the data received by the data reception unit.

Abstract: A retrofitted credit card including a certified smart card chip, a display and retrofitted emulation circuitry operative to enable the certified smart card chip to communicate information to the display notwithstanding that the certified smart card chip is configured for communication only with an external read/write device.

Abstract: Systems and methods of a smart card based mobile pull station are provided. For example, a smart card can include control circuitry and an activation mechanism. In some methods, the smart card can receive user input to activate the activation mechanism of the smart card, and upon activation of the activation mechanism, the control circuitry of the smart card can transmit an emergency signal. In some methods, a wireless device can receive the emergency signal from the smart card, the wireless device can transmit the emergency signal to a remote device, and the remote device can identify a location of the smart card based on a location of the wireless device.

Abstract: In one embodiment the present invention comprises a smartphone and encoders for commissioning RFID transponders. The present invention further includes novel systems, devices, and methods for commissioning RFID transponders with unique object class instance numbers without requiring a realtime connection to a serialization database.