Abstract: A computer implemented method of object extraction from video images, the method comprising steps a computer is programmed to perform, the steps comprising: receiving a plurality of video images, deriving a plurality of background templates from at least one of the received video images, calculating a plurality of differences from an individual one of the received video images, each one of the differences being calculated between the individual video image and a respective and different one of the background templates, and extracting an object of interest from the individual video image, using a rule applied on the calculated differences.

Abstract: Disclosed herein is a method for manufacturing a single crystal, the method includes: photographing an image of a boundary portion between the single crystal and a melt by a camera during a single crystal pull-up process according to a Czochralski method; comparing at least one pixel included in a left side region with respect to an extension line of a pull-up shaft of the single crystal and at least one pixel included in a right side region with respect to the extension line; and determining an abnormality in a luminance distribution of the image from a result of the comparing.

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: In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR.

Abstract: A method of operating an electronic device and the electronic device is provided. The method includes setting a fingerprint detecting area functionally connected to a display; identifying a function corresponding to a gesture of an input means input to the display, and determining whether to perform the function with fingerprint information acquired in the fingerprint detecting area. The electronic device includes a display configured to display at least one content; a memory configured to store at least one fingerprint information acquired in a fingerprint detecting area; the fingerprint detecting area functionally connected to the display; and at least one processor configured to set the fingerprint detecting area, identify a function corresponding to a gesture of an input means input to the display, and determine whether to perform the function with the at least one fingerprint information acquired in the fingerprint detecting area.

Abstract: Systems, computer program products, and techniques for discriminating hand and machine print from each other, and from signatures, are disclosed and include determining a color depth of an image, the color depth corresponding to at least one of grayscale, bi-tonal and color; reducing color depth of non-bi-tonal images to generate a bi-tonal representation of the image; identifying a set of one or more graphical line candidates in either the bi-tonal image or the bi-tonal representation, the graphical line candidates including one or more of true graphical lines and false positives; discriminating any of the true graphical lines from any of the false positives; removing the true graphical lines from the bi-tonal image or the bi-tonal representation without removing the false positives to generate a component map comprising connected components and excluding graphical lines; and identifying one or more of the connected components in the component map.

Abstract: Embodiments of the present invention relate to finding semantic parts in images. In implementation, a convolutional neural network (CNN) is applied to a set of images to extract features for each image. Each feature is defined by a feature vector that enables a subset of the set of images to be clustered in accordance with a similarity between feature vectors. Normalized cuts may be utilized to help preserve pose within each cluster. The images in the cluster are aligned and part proposals are generated by sampling various regions in various sizes across the aligned images. To determine which part proposal corresponds to a semantic part, a classifier is trained for each part proposal and semantic part to determine which part proposal best fits the correlation pattern given by the true semantic part. In this way, semantic parts in images can be identified without any previous part annotations.

Abstract: A wall area estimation system generates an estimated wall area measurement of a building based on the received roof measurements (e.g., those generated by, received from or found in a three dimensional model of the roof) and a reference distance. The reference distance is a measurement indicative of a distance between a reference point on the roof and a ground surface. This reference distance may be used to determine how for down to extend the walls of the building (e.g., to a ground level) when building a three dimensional digital model of the building to aid in generating wall area measurements. The resulting wall measurements, roof measurements, measurements of areas missing from the wall used to generate a wall estimate report, or a combined roof and wall estimate report including various different identifiers indicating the different features and measurements based on the three dimensional model.

Abstract: Techniques for identifying prominent subjects in video content based on feature point extraction are described herein. Video files may be processed to detect faces on video frames and extract feature points from the video frames. Some video frames may include detected faces and extracted feature points and other video frames may not include detected faces. Based on the extracted feature points, faces may be inferred on video frames where no face was detected. The inferring may be based on feature points. Additionally, video frames may be arranged into groups and two or more groups may be merged. The merging may be based on some groups including video frames having overlapping feature points. The resulting groups each may identify a subject. A frequency representing a number of video frames where the subject appears may be determined for calculating a prominence score for each of the identified subjects in the video file.

Abstract: A system and method for planning a pathway through an anatomical luminal network of a patient including memory storing a computer program configured to analyze and manipulate CT images, a processor configured to execute the computer program, and a display device configured to display a user interface of the computer program. The user interface includes a CT image window configured to display a slice of CT image data, a localizer window configured to display an image of at least one lung, the localizer window including a localizer configured to identify a location of the displayed slice relative to the at least one lung, and a target selection element configured to select a target from a displayed slice of CT image data in response to a user input.

Abstract: A subtraction image is generated by performing subtraction between a mask image serving as a radiation image obtained by capturing an object, at least of a specific region of which does not include contrast medium, and a live image serving as a radiation image obtained by capturing the object which includes the contrast medium. The emphasis degree serving as the degree of emphasis processing for the subtraction image is determined based on at least either the mask image or live image. The emphasis processing is performed for the subtraction image based on the emphasis degree.

Abstract: A system and method for providing a fast, efficient and accurate method for recovery of depth information from a single image of a face is disclosed. The technique uses a novel thin-plate spline-based dense-correspondence method to align the face, and the representation incorporates a weighted framework, interpreting the depth recovery problem as a weighted data problem.

Abstract: A stereo matching apparatus and method through learning a unary confidence and a pairwise confidence are provided. The stereo matching method may include learning a pairwise confidence representing a relationship between a current pixel and a neighboring pixel, determining a cost function of stereo matching based on the pairwise confidence, and performing stereo matching between a left image and a right image at a minimum cost using the cost function.

Abstract: Provided is a technology which enables early removal from a tracking target of an object unnecessary to be tracked and which, together therewith, when the tracking target is temporarily in a state of being not detected, enables continuous tracking of the relevant tracking target without removing it from the tracking target. A detection unit 2 detects, as a tracking candidate, an object included in an image by using image processing. A corresponding degree calculation unit 3 calculates a corresponding degree which is index representing a probability that the detected tracking candidate corresponds to the tracking target registered as an object to be tracked. When having determined that it is unnecessary to track the tracking target based on an evaluation value calculated by using the corresponding degree, a decision unit 4 deletes the registration of the object to be tracked with respect to the relevant tracking target.

Abstract: For detecting cascading sub-logograms, code may detect a sub-logogram from a written input to a written input device. In addition, the code may display one or more logogram hints in response to detecting the sub-logogram. Each logogram hint includes the sub-logogram and one or more subsequent sub-logograms of a logogram sequence of multiple sub-logograms.

Abstract: An image correction system includes a storage device and a processor. The storage device is configured to store multiple reference patterns corresponding to different color temperatures. The processor is configured to execute operations of receiving an input image and correspondingly transforming the input image into multiple input gamut points; generating an input pattern according to distribution of the input gamut points, in which the input gamut points are surrounded by the input pattern; comparing the input pattern with the reference patterns to generate a comparison result; and estimating out a color temperature corresponding to the input image according to the comparison result so as to correct the input image.

Abstract: A sub-image of data of a first full image may be selected. The sub-image of data may at least partially obscure an object within the first full image. A request to replace the sub-image of data may be transmitted over a network. The request may include transmitting the full image and transmitting metadata associated with the first full image to one or more of a server computing device. The server computing device may analyze a history of images and select one or more images of the history of images that match one or more attributes of the metadata. The server computing device may replace the sub-image of data using the one or more images to generate at least a second full image that includes the object, wherein the object is not obscured. The second full image may be received over the network.

Abstract: A face image tracking system for a site includes a storage unit storing face images of persons that were acquired when the persons visited the site, an imaging unit configured to capture a face image of a person when the person requests deletion of a face image of the person stored in the storage unit, and a processing unit configured to extract one or more stored face images that have at least a threshold similarity to the face image of the person captured by the imaging unit, and delete one of the extracted face images from the storage unit.

Abstract: An image processing method includes the steps of providing at least one image of at least one object or part of the at least one object, and providing a coordinate system in relation to the image, providing at least one degree of freedom in the coordinate system or at least one sensor data in the coordinate system, and computing image data of the at least one image or at least one part of the at least one image constrained or aligned by the at least one degree of freedom or the at least one sensor data.

Abstract: Data transmission from a bottom hole assembly (BHA) includes obtaining a scan from multiple scans forming a downhole data log of a borehole within a subterranean formation. The scan includes a sequence of data items from a sensor in the BHA located in the borehole. Each data item corresponds to an azimuth angle of the sensor. Further, compressed scan data is generated from the sequence of data items on a per-scan basis, and transmitted, using a pre-determined borehole telemetry, to a surface unit.