Abstract: A method for facial recognition encode analysis comprises providing a training set of Gabor encoded arrays of face images from a database; and, for each encode array in the training set, evaluating the Gabor data to determine the accuracy of the fiducial points on which the encode array is based. The method also comprises training an outlier detection algorithm based on the evaluation of the encode arrays to obtain a decision function for a strength of accuracy of fiducial points in the encode arrays; and outputting the decision function for application to an encode array to be tested.

Abstract: A display device is provided. The display device includes a display configured to display a content, an input unit configured to obtain a photographed image of a user, a storage configured to store feature information of each pre-classified age stage and a processor configured to compare a feature part in the photographed image with the feature information of each age stage stored in the storage, and calculate an age matching probability the feature part with each age stage. The processor selects a plurality of age stages among all age stages by comparing the age matching probability with a preset threshold value, controls the display to display a combined content which includes a plurality of recommended contents corresponding to each of the selected plurality of age stages.

Abstract: A music playlist may be generated based on images selected by a user on a computing device. For example, by using image classification and machine learning, image descriptors may automatically be associated with an image and the assigned image descriptors mapped to music descriptors associated with songs. Songs associated with the mapped music descriptors are identified and assembled in a playlist sent to the user's device. Additional images may be identified, for example based on the image descriptors of the selected images and the music descriptors, to identify images to display during playback of the playlist.

Abstract: In order to obtain an image processing apparatus whose object is to realize edge detection with utilizing motion vectors calculated during image encoding, included are: a motion vector processing part to calculate, for each macroblock, information concerning a motion between frames, from motion vectors included in an encoded image signal; a motion vector filter to let through motion vectors each having a predetermined piece of information out of the calculated information; a frame counter to output a count end signal when a counted number of frames of the encoded image signal received by the motion vector processing part reaches a predetermined number of frames; a frequency counter to integrate a frequency of the motion vectors let through the motion vector filter over the predetermined number of frames for each macroblock; and an edge determiner to determine, upon reception of the count end signal, whether or not the frequency integrated by the frequency counter for each macroblock exceeds a threshold, and i

Abstract: There is provided an information processing apparatus including an image acquisition unit configured to acquire a captured image of users, a determination unit configured to determine an operator from among the users included in the acquired captured image, and a processing unit configured to conduct a process based on information about user line of sight corresponding to the determined operator.

Abstract: A method is for determining a transformation for image registration of a first image relative to a second image. The method includes ascertaining a test series of test elements including a test transformation and a test value, the ascertaining including ascertaining the test transformation based on a sequence of test transformations and/or based on previously ascertained test elements, transforming the first image via the ascertained test transformation, ascertaining a difference image, and ascertaining the test value of the test element based on the difference image such that the test value is a measure for an extension of a frequency distribution of values of pixels of the difference image in a direction of pixel value increase. It further includes determining a minimum test value based on test values encompassed by the test elements and determining the transformation which is the test transformation of a test element including the minimum test value.

Abstract: Systems and methods for classifying defects using hot scans and convolutional neural networks (CNNs) are disclosed. Primary scanning modes are identified by a processor and a hot scan of a wafer is performed. Defects of interest and nuisance data are selected and images of those areas are captured usa7ing one or more secondary scanning modes. Image sets are collected and divided into subsets. CNNs are trained using the image subsets. An ideal secondary scanning mode is determined and a final hot scan is performed. Defects are filtered and classified according to the final hot scan and the ideal secondary scanning mode. Disclosed systems for classifying defects utilize image data acquisition subsystems such as a scanning electron microscope as well as processors and electronic databases.

Abstract: An image processing apparatus includes a current image acquisition device which acquires a current image of a subject having a structure having a periodic movement, a past image acquisition device which acquires multiple past images of the subject such that the past images captured for over one or more periods of the periodic movement are acquired, and circuitry which searches multiple feature points on each past image and the current image, associates the feature points on the current image and the feature points on each of the past images, calculates, for each of the past images, a degree of similarity between the feature points on each of the past images and the feature points on the current image based on association, and identifies to which one of the past images the current image corresponds such that at which phase of the periodic movement the current image is positioned is estimated.

Abstract: A system and method for automated contrast arrival detection in temporally phased images or datasets of tissues effectively determines contrast arrival in regions that are substantially free of arteries. A plurality of tissue voxels in a plurality of temporally phased images are identified as a function of voxel enhancement characteristics associated with discrete tissue voxels. A processor/process computes average enhancement characteristics from the plurality of identified tissue voxels. The average enhancement characteristics are compared with predetermined average enhancement characteristics associated with contrast media arrival phases. Contrast media arrival phases in the temporally phased images are provided based on the comparison.

Abstract: The present disclosure provides a light homogenizing device and a biometric identifying device. The light homogenizing device includes a light homogenizing member and light-emitting units. The light homogenizing member includes a hole and protrusion structures. The protrusion structures are disposed on a first surface of the light homogenizing member and surrounding an outside of the hole. A circular inclined-plane is disposed between the hole and the protrusion structures and connected to the hole. The light-emitting units are disposed opposite to the first surface, and each light-emitting units transmits a light to one of the protrusion structures. The protrusion structures homogenize the light and outwardly transmit the homogenized light through a second surface of the light homogenizing member.

Abstract: A method of preprocessing an image including biological information is disclosed, in which an image preprocessor may set an edge line in an input image including biological information, calculate an energy value corresponding to the edge line, and adaptively crop the input image based on the energy value.

Abstract: Systems and methods for personalized cancer therapy using analysis of pathology slides to target regions in a single sample that interrogates the feature data of a relatively large number of cells. The disclosure describes pathology case review tools of the future which include analysis, visualization and prediction modeling to provide novel information to the pathologist for the diagnosis of disease. This disclosure further describes a user interface to assist the physicians that make that diagnosis, pathologists. Complex computer learning algorithms will combine and mine these data sets to recommend optimal treatment strategies. A computer interface is provided which allows a pathologist to access those data instantly to make a more informed and accurate diagnosis.

Abstract: Techniques are described to generate improved training data for pixel labeling. To generate training data, objects are displayed in a user interface by a computing device, e.g., iteratively. The objects are taken from a structured object representation associated with a respective one of a plurality of images. The structured object representation defines a hierarchical relationship of the objects within the respective image. Inputs are then received that are originated through user interaction with the user interface. The inputs label respective ones of the iteratively displayed objects, e.g., as text, a graphical element, background, foreground, and so forth. A model is trained by the computing device using machine learning.

Abstract: Detecting an aspect ratio of an image captured with a smartphone includes detecting at least one convex quadrangle of arbitrary shape on the image and generating a plurality of additional convex quadrangles having vertices in a pre-determined vicinity of vertices of the quadrangle on the image. A linear projective mapping matrix is generated for mapping each of the quadrangle and the plurality of additional quadrangles onto a unit square. A plurality of estimated focal lengths of the camera of the smartphone is determined according to matrixes corresponding to the linear projective mappings onto a unit square of the quadrangle and each of the plurality of additional quadrangles. The quadrangle is used to determine the aspect ratio of the image in response to a range of the plurality of estimated focal lengths including a true value of the focal length of the camera of the smartphone.

Abstract: Embodiments include methods, systems and computer program products for communicating the presence of a target DNA or RNA sequence. Aspects include receiving a plurality of images of a sample taken by a portable video capture device. Aspects also include calculating a change in position over time of microscopic beads coated with DNA probe sequence in a sample containing genetic material. Aspects also include determining whether the beads are displaying Brownian motion. Aspects also include, based upon a determination of that the beads are displaying Brownian motion, generating a negative output message and sending the negative output message to a portable display. Aspects also include, based upon a determination of that the beads are not displaying Brownian motion, generating a positive output message and sending the positive output message to a portable display.

Abstract: A method and an apparatus for detecting an abnormal situation are disclosed. The method includes recognizing whether a detection target exists in a captured image; generating, based on the captured image, a three-dimensional point cloud of the detection target in the captured image, when the detection target exists; obtaining, based on the generated three-dimensional point cloud, one or more current posture features of the detection target; and determining, based on the current posture features and one or more predetermined posture feature standards, whether the abnormal situation exists, the posture feature standards being previously determined based on one or more common features when the detection target performs a plurality of abnormal actions.

Abstract: A clustering method with a two-stage local binary pattern includes generating a gradient direction value according to a center sub-block and neighbor sub-blocks of a patch of an image; quantizing the gradient direction value, thereby generating a quantized gradient direction value; generating a gradient magnitude value according to the gradient direction value; quantizing the gradient magnitude value, thereby generating a quantized gradient magnitude value; concatenating the quantized gradient direction value and the quantized gradient magnitude value to generate a two-stage local binary pattern (2SLBP) value; and performing clustering of super-resolution imaging by using the 2SLBP value as an index.

Abstract: A method of building a stereoscopic model with Kalman filtering (KF) is provided. The method entails capturing images of the environment with a sensing device to build the stereoscopic model and then correcting a static object and a dynamic object in the environmental images with Kalman filtering to enhance the accuracy of the stereoscopic model. The prior art is a great reduction of accuracy in simultaneous localization and mapping (SLAM) in the event of increased system variation, increased complexity, or increased involved field. The method overcomes a drawback of the prior art.

Abstract: A feature vector extraction device includes a cell learning unit setting a plurality of cells representing a position and range for counting a feature vector of a target on the basis of a plurality of images containing a target for learning use. A normalizer selects two feature points from among three or more feature points which are set in an image and represent the target for learning use, and normalizes a size and direction of each of the feature points. A feature point calculator calculates a mean position and a variation from the relevant mean position for each of other feature points than the selected two feature points of the normalized feature points. A cell decision unit decides a position of each of the cells on the basis of the mean position and decides a size of the each of the cells on the basis of the variation.

Abstract: Various embodiments provide methods and systems for detecting one or more segments of an image that are related to a particular object in the image (e.g., a logo or trademark) and extracting at least one feature point, each of which is represented by one feature point descriptor, based at least upon a contour curvature of the one or more segments. The at least one feature point descriptor can be converted into one or more codewords to generate a codeword database. A discriminative codebook can then be generated based upon the codeword database and utilized to detect objects and/or features in a query image.