Abstract: In a mobile terminal capable of retrieving data, and a control method thereof, the mobile terminal includes a display unit to display at least one object, and a controller to detect information included in an object selected by a user from the at least one object, retrieve objects each having data corresponding to the detected information, and process the retrieved objects to be associated with the selected object.

Abstract: A method for inspecting overlay shift defect during semiconductor manufacturing is disclosed herein and includes a step for providing a charged particle microscopic image of a sample, a step for identifying an inspection pattern measure in the charged particle microscopic image, a step for averaging the charged particle microscopic image by using the inspection pattern measure to form an averaged inspection pattern measure, a step for estimating an average width from the averaged inspection pattern measure, and a step for comparing the average width with a predefined threshold value to determine the presence of the overlay shift defect.

Abstract: The present invention provides a novel system and method for identifying individuals and for face recognition utilizing facial features for face identification. The system and method of the invention comprise creating facial features or face patterns called face pattern words and face pattern bytes for face identification. The invention also provides for pattern recognitions for identification other than face recognition. The invention further provides a means for identifying individuals based on visible and/or thermal images of those individuals by utilizing computer software implemented by instructions on a computer or computer system and a computer readable medium containing instructions on a computer system for face recognition and identification.

Abstract: In one embodiment, the invention provides a method, comprising detecting data fields on a scanned document image; generating a flexible document description based on the detected data fields, including creating a set of search elements for each data field, each search element having associated search criteria; and training or modifying the flexible document description using, for example, a search algorithm to detect the data fields on additional training images based on the set of search elements.

Abstract: An image information processing apparatus comprising: an extraction unit that extracts an object from a photographed image; a calculation unit that calculates an orientation of the object as exhibited in the image; and a provision unit that provides a tag to the image according to the orientation of the object.

Abstract: The invention in particular relates to the hybrid tracking of representations of objects in a sequence of images using at least one key image. After acquiring a first and second images including a representation of the tracked object, a first image portion is identified in the first image, and a second image portion is retrieved from the key image. A relative pose of a first image portion of said second image, similar to the first image portion of the first image, is estimated. A second image portion of the first or second image, similar to the second image portion of the key image, is sought. The relative pose of the object is then estimated according to the relative poses of the first image portions and the second image portions.

Abstract: The disclosed image enlargement device is provided with: an image enlargement filter (1) that enlarges an input image, generating a first enlarged image; a first wavelet transformation unit (2) that performs a wavelet transformation on the first enlarged image; a second wavelet transformation unit (3) that performs a wavelet transformation on the first enlarged image; and an accentuation processing unit (6, 7, 8, 10) that performs an accentuation process using a first edge signal (EDGE_CDF9/7), generated from the output of the first wavelet transformation unit, and a second edge signal (EDGE_Harr), generated from the output of the second wavelet transformation unit. The first wavelet transformation unit and the second wavelet transformation unit perform different wavelet transformations.

Abstract: In one embodiment, a system for computing class identifiers for three-dimensional pixel data has been developed. The system comprises a plurality of class identifying processors, and a data grouper operatively connected to a first memory. Each class identifying processor has a plurality of inputs for at least one pixel value and a plurality of class identifiers for pixel values neighboring the at least one pixel value and each class identifying processor is configured to generate a class identifier for the at least one pixel value input with reference to the class identifiers for the neighboring pixel values. The data grouper is configured to retrieve a plurality of pixel values from the first memory and a plurality of class identifiers for pixel values neighboring the retrieved pixel values.

Abstract: A person's region is detected from input video of a surveillance camera; a person's direction in the person's region is determined; the separability of person's clothes is determined to generate clothing segment separation information; furthermore, clothing features representing visual features of person's clothes in the person's region are extracted in consideration of the person's direction and the clothing segment separation information. The person's direction is determined based on a person's face direction, person's motion, and clothing symmetry. The clothing segment separation information is generated based on analysis information regarding a geometrical shape of the person's region and visual segment information representing person's clothing segments which are visible based on the person's region and background prior information.

Abstract: Provided is an image processing apparatus including an image input unit configured to receive at least one of a first left eye image and a first right eye image photographed from different viewpoints and applicable to stereoscopic vision, and a stereoscopic image generation processing unit configured to receive one of the first left eye image and the first right eye image and generate a second left eye image and a second right eye image applicable to the stereoscopic vision through an image conversion process. Among the first left eye image and the first right eye image input to the image input unit and the second left eye image and the second right eye image generated by the stereoscopic image generation processing unit, two images are output as images to be applied to the stereoscopic vision.

Abstract: Provided is a template matching method and a template matching apparatus, where the degree of matching between a template and the actual image upon template matching is maintained at a high level, without depending on a partial appearance of a lower layer. Proposed as one embodiment, is a method and an apparatus for template matching, where either an area is set in which comparison of the template and the image is not conducted, or a second area is set inside the template where comparison different from comparison conducted in a first comparison area is to be conducted, and the template matching is conducted on the basis either of comparison excluding the non-comparison area, or of comparison using the first and second areas.

Abstract: A recognition task executing means 11 that provides a feature point selecting system which can select an adequate feature point matching a recognition algorithm in a recognition task executes the recognition task using an importance of each of a plurality of feature point candidates on a three-dimensional shape model for a plurality of evaluation images. A recognition error evaluating means 12 evaluates a recognition error related to all evaluation images from a difference between a recognition result of the recognition task and correct data of the recognition task for each evaluation image. A feature point importance determining means 13 sets a cost function which is represented as a function obtained by adding a restriction condition that an importance of an unimportant feature point candidate becomes close to zero, to the recognition error related to all evaluation images, and calculating the importance of each feature point candidate which minimizes a value of the cost function.

Abstract: A computer implemented method for determining shape from differential motion with unknown reflectance includes deriving a general relation that relates spatial and temporal image derivatives to bidirectional reflectance distribution function BRDF derivatives, responsive to 3D points and relative camera poses from images and feature tracks of an object in motion under colocated and unknown directional light conditions, employing a rank deficiency in image sequences from the deriving for shape determinations, under predetermined multiple camera and lighting conditions, to eliminate BDRF terms; and recovering a surface depth for determining a shape of the object.

Abstract: The present invention relates to a slip detection apparatus and method for a mobile robot, and more particularly, to a slip detection apparatus and method for a mobile robot, which not only use a plurality of rotation detection sensors to detect a lateral slip angle and lateral slip direction, but also analyze the amount of change in an image and detect the blocked degree of an image input unit to determine the quality of an input image, and detect the occurrence of a frontal slip to precisely detect the type of slip, direction of the slip, and the rotation angle, and, on the basis of the latter, to enable the mobile robot to move away from and avoid slip regions, and to reassume the precise position thereof.

Abstract: Here, we introduce Z-webs, including Z-factors and Z-nodes, for the understanding of relationships between objects, subjects, abstract ideas, concepts, or the like, including face, car, images, people, emotions, mood, text, natural language, voice, music, video, locations, formulas, facts, historical data, landmarks, personalities, ownership, family, friends, love, happiness, social behavior, voting behavior, and the like, to be used for many applications in our life, including on the search engine, analytics, Big Data processing, natural language processing, economy forecasting, face recognition, dealing with reliability and certainty, medical diagnosis, pattern recognition, object recognition, biometrics, security analysis, risk analysis, fraud detection, satellite image analysis, machine generated data analysis, machine learning, training samples, extracting data or patterns (from the video, images, and the like), editing video or images, and the like.

Abstract: A method for analyzing quality of a glazing unit including: generating a digital image of a test chart produced in reflection by an outer surface of the glazing, the test chart presenting a pattern composed of a plurality of contrasted elements defining between them interface lines; calculating quantities representative of the glazing from the image generated, the calculation being carried out by a processing unit; and comparing the calculated values for the representative values relative to reference values. The representative quantities are representative of a deformation of the image of the test chart produced in reflection by the outer surface of the glazing.

Abstract: An information processing apparatus includes: an inputting section adapted to input an image; a detection section adapted to detect a portion of an image pickup object from within the inputted image; a noticed region setting block adapted to set a noticed region from the detected portion; a restriction region setting block adapted to set a restriction region from the detected portion; and an extraction section adapted to extract feature values of the noticed region restricted by the restriction region.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a location relative to an object and a type of a light source that illuminated the object when the image was captured, are described. A method performed by a process executing on a computer system includes identifying an object of interest in a digital image. The method further includes projecting at least a portion of the digital image corresponding to the object of interest onto a three dimensional (3D) model that includes a polygon-mesh corresponding to the object's shape. The method further includes determining one or more properties of a light source that illuminated the object in the digital image at an instant that the image was captured based at least in part on a characteristic of one or more polygons in the 3D model onto which the digital image portion was projected.

Abstract: A method of providing a video content formed of a plurality of successive video frames is disclosed. The method includes: extracting a visual feature from an image of each of subject frames which are all or some of the plurality of video frames; and selecting one of a plurality of candidate overlay insertion regions which are pre-assigned on each of the subject frames at different positions for allowing an additional content as a content overlay to be overlaid on the subject frames for display, as a final overlay insertion region, based on distances of the plurality of candidate overlay insertion regions from the extracted feature.

Abstract: The present invention relates to a map generating and updating method for mobile robot position recognition, and more specifically relates to a map generating and updating method for mobile robot position recognition, whereby position recognition error can be minimized by registering landmarks extracted during map generation and landmarks extracted on the basis of the probable error in inferred landmarks, calculating the accuracy of landmarks pre-registered during map generation, and adjusting the level of landmarks of low accuracy or removing landmarks which have been registered erroneously.