Abstract: According to one embodiment, an electronic apparatus includes a line recognition module, a character recognition module and a generator. The line recognition module recognizes lines in a handwritten document. The character recognition module recognizes character codes corresponding to handwritten characters in a first line and a second line which follows the first line. The generator generates, if the first and second lines satisfy a condition, document data using first character codes corresponding to the first line and second character codes corresponding to the second line, the formed document data including either one of the first character codes at a position of the second line or including at least one of the second character codes at a position of the first line.

Abstract: An apparatus extracts an area having a highest score or a lowest score that is calculated based on evaluation values of points from a target area including a set of a plurality of points that can be distributed at two-dimensional coordinates. It determines whether the area extracted and an area overlapping a plurality of the target areas intersect with each other, and deletes an area having a lower score or a higher score out of the areas determined to intersect with each other. It selects an area having a highest score or a lowest score out of the areas extracted at the extracting and not deleted at the determining. One or a plurality of areas are generated as the target areas based on an area acquired by excluding the area selected from the target area and an area acquired by excluding the area deleted at the determining.

Abstract: A person detection apparatus determines a weather condition such as rain and solar radiation based on a variety of information from a weather information input portion. Then, based on a determination result of the weather condition, the umbrella ratio showing the ratio of persons with umbrellas is calculated. The person detection apparatus uses a no-umbrella recognition model describing a person with no umbrella and an umbrella-hold recognition model describing a person with umbrella in order to perform pattern recognition to an input image to derive recognition scores based on the respective recognition models. Then, the umbrella ratio depending on the weather condition is used to correct the respective recognition scores based on the pattern recognition using the no-umbrella model and the recognition score based on the pattern recognition using the umbrella-hold model; the corrected recognition scores are output as a final detection result.

Abstract: Methods and systems for automatic detection of landmarks in digital images and annotation of those images are disclosed. A method for detecting and annotating landmarks in digital images includes the steps of automatically assigning a tag descriptive of a landmark to one or more images in a plurality of text-associated digital images to generate a set of landmark-tagged images, learning an appearance model for the landmark from the set of landmark-tagged images, and detecting the landmark in a new digital image using the appearance model. The method can also include a step of annotating the new image with the tag descriptive of the landmark.

Abstract: A system and method is provided for automatically recognizing building numbers in street level images. In one aspect, a processor selects a street level image that is likely to be near an address of interest. The processor identifies those portions of the image that are visually similar to street numbers, and then extracts the numeric values of the characters displayed in such portions. If an extracted value corresponds with the building number of the address of interest such as being substantially equal to the address of interest, the extracted value and the image portion are displayed to a human operator. The human operator confirms, by looking at the image portion, whether the image portion appears to be a building number that matches the extracted value. If so, the processor stores a value that associates that building number with the street level image.

Abstract: The present invention provides an elongation measuring apparatus, an elongation measurement system and a non-transitory medium recording a computer program, which enable measurement of an elongation of a chain without presetting a distance between rollers before use. Based on an image of three or more pins, two adjacent inter-pin distances are each calculated. As a result of a comparison between the two calculated inter-pin distances, the longer distance is determined as a pitch of an inner link and the shorter distance is determined as a pitch of an outer link. The outer link is not elongated while only the inner link is elongated, and therefore, a ratio of a difference between both of the pitches to the pitch of the outer link is determined as an elongation of a chain.

Abstract: A system and method for identifying regular geometric structures in a document page are disclosed. In the method, for a document page for which a set of page elements have been identified, the method includes identifying, where present, geometric relations among a subset of the page elements, from a predefined set of geometric relations, and a geometric structure comprising regular rows and regular columns, based on the identified geometric relations. Constraints of a definition of a regular geometric structure are applied to the identified geometric structure and, where the subset of page elements includes regular rows and regular columns forming a geometric structure which meets the constraints of the definition of a regular geometric structure, the subset of the page elements is identified as forming a regular geometric structure and may be labeled or tested to determine if it can be expanded by adding one or more rows or columns.

Abstract: This invention is a method for rectifying an input digital image including warped textual information. The method includes analyzing the input digital image to locate a plurality of local features, at least some of the local features including textual features. A sparse set of local image regions are located corresponding to reliable combinations of spatially-consecutive local features, and corresponding local orientations are determined. A global deformation function is formed by interpolating between the determined local orientations and is used to form a rectified image.

Abstract: The objective is to provide a finger shape estimating device that can estimate the image most similar to a finger image quickly and with high precision, and that can facilitate construction of a database.

Abstract: Systems, devices, methods and arrangements are implemented in a variety of embodiments to facilitate motion capture of objects. Consistent with one such system, three-dimensional representations are determined for at least one object. Depth-based image data is used in the system, which includes a processing circuit configured and arranged to render a plurality of orientations for at least one object. Orientations from the plurality of orientations are assessed against the depth-based image data. An orientation is selected from the plurality of orientations as a function of the assessment of orientations from the plurality of orientations.

Abstract: Method for parallel approximation of distance maps on a discrete representation of a manifold, the method comprising: for at least one Euclidean grid applied on the discrete representation of a manifold, iterating over rows of the Euclidean grid in a first direction, and for each row currently visited during the iterating in the first direction, calculating a distance value for each single cell of the currently visited row in parallel, wherein the calculating is carried out according to a predefined approximation rule, using a distance value calculated for each one of respective cells of a row visited immediately before the currently visited row, wherein the cells of the row visited before the currently visited row are adjacent to the single cell in the Euclidean grid.

Abstract: A method, system, and machine-readable medium for classifying an image element as one of a plurality of categories, including assigning the image element based on a ratio between an unoccluded perimeter of the image element and an occluded perimeter of the image element and coding the image element according to a coding scheme associated with the category to which the image element is classified. Exemplary applications include image compression, where categories include image foreground and background layers.

Abstract: A face-tracking method with high accuracy is provided. The face-tracking method includes generating an initial face shape according to the detected face region of an input image and a learned data base, wherein the initial face shape comprises an initial inner shape and an initial outer shape; generating a refined inner shape by refining the initial inner shape according to the input image and the learned data base; and generating a refined outer shape by searching an edge of the refined outer shape from the initial outer shape toward the limit of outer shape.

Abstract: An electronic device and an equation computing method are provided. The electronic device receives parameters and conversion equations for converting the input parameters to vectors input by a user, and then converts the parameters input by the user to vectors according to the equation. The electronic device further obtains a non-linear equation according to the vectors, and executes a curve surface fitting process to obtain a fitting curve surface according to the non-linear equation. At last, the electronic device obtains a fitting equation according to the fitting curve surface.

Abstract: A method and device achieves identification on whether a colony on a cultivation container is differentiated or undifferentiated on an occasion of cultivation of multipotent stem cell, and a method and device achieves a rapid culture of undifferentiated multipotent stem cells. Undifferentiated colony containing only undifferentiated multipotent stem cells is identified from other types of colonies by means of the circularity C of the colony in an image-processed taken image of the inside of cultivation container of a multipotent stem cell. More specifically, when a first threshold of the circularity of the colony is C1, and a second predetermined threshold is C2 (C1<C2), a colony satisfying C2?C is determined as the undifferentiated colony, a colony satisfying C1?C<C2 is determined as an undefined colony, and a colony satisfying C<C1 is determined as the differentiated colony.

Abstract: A method and apparatus to generate an object descriptor using extended curvature gabor filters. The method and apparatus may increase a recognition rate of even a relatively small image with use of an extended number of curvature gabor filters having controllable curvatures and may reduce the amount of calculation required for face recognition by performing the face recognition using only some of the extended curvature gabor filters which have a great effect on the recognition rate. The object descriptor generating method includes extracting gabor features from an input object image by applying a plurality of curvature gabor filters, generated via combination of a plurality of curvatures and a plurality of Gaussian magnitudes, to the object image, and generating an object descriptor for object recognition by projecting the extracted features onto a predetermined base vector.

Abstract: An apparatus for detecting an error in a contour of a lesion includes an extracting unit configured to extract a contour of a lesion in each of a plurality of two-dimensional image frames that form a three-dimensional image, and an error determining unit configured to determine a presence or an absence of an error in a contour of a lesion in a target image frame of the two-dimensional image frames based on estimation information about the lesion in the target image frame and/or an energy value that corresponds to the contour of the lesion in the target image frame.

Abstract: An image processing apparatus includes a receiving unit that receives an image; a separating unit that separates a first area from the received image; an extracting unit that extracts a second area of a color having a predetermined relationship in the separated first area; an acquiring unit that acquires the characteristic relating to the shape of the extracted second area; a first determining unit that determines whether or not the second area is plain, on the basis of the acquired characteristic; and a second determining unit that determines, as the property of the first area, whether the first area is a continuous-tone area, a plain area, or a composite area including a continuous-tone area and a plain area, on the basis of the ratio of the second area determined to be plain to the separated first area.

Abstract: A method and/or computer program product assists in locating objects using a local physical device and one or more remote physical devices having image capture capability. A local physical device captures one or more reference images of an object, and shares identification metrics associated with one or more reference images of the object with one or more of the remote physical devices. One or more remote physical devices captures one or more images of an area in which the object may be located, and determines, using the identification metrics, whether any of the images captured includes the object. In response to a determination that any of the images captured includes the object, those images are stored and associated with the object. In response to the object being lost by a user, the local physical device reviews the stored images to determine a location of the lost object.

Abstract: When a hand of the user is recognized in an image pickup region of a camera, a head mounted display stores a contour shape of the hand which would be imaged by the camera in advance. In addition, the head mounted display receives an input of image data per pixel included in the camera, calculates a difference between colors of adjacent pixels represented by the image data, sets a set of image data having the same color system, where the calculated difference is within a predetermined threshold, as a group, and captures a contour of a region of the data. Next, the head mounted display compares the captured contour to a contour shape of the hand which is stored in advance to allow the user to recognize the hand of the user in the image pickup region.

Abstract: Examples disclosed herein relate to creating an image collage in a semantic theme based shape. For example, a processor may determine a semantic theme associated with an image collection, select a shape associated with the semantic theme, and create a collage of at least a subset of the image collection in the selected shape. The processor may output the created collage.

Abstract: Disclosed is an image creating device including a first obtaining unit which obtains an image including a face, a first extraction unit which extracts a face component image relating to main components of the face in the image and a direction of the face, a second obtaining unit which obtains a face contour image associated to the face in the image and a second extraction unit which extracts a direction of a face contour in the face contour image. The image creating device further includes a converting unit which converts at least one of the face component image and the face contour image based on the both directions of the face and the face contour and a creating unit which creates a portrait image by using at least one of the face component image and the face contour image being converted by the converting unit.

Abstract: One embodiment of the invention includes a method for executing and interpreting gesture inputs in a gesture recognition interface system. The method includes detecting and translating a first sub-gesture into a first device input that defines a given reference associated with a portion of displayed visual content. The method also includes detecting and translating a second sub-gesture into a second device input that defines an execution command for the portion of the displayed visual content to which the given reference refers.

Abstract: Imaging a cylindrical object, left and right viewpoint images are stored to a data memory. To calculate a diameter D of the cylindrical object, a pair of measurement points designated on outlines of the left viewpoint image and corresponding points that are set on outlines of the right viewpoint image in accordance with measurement points are used. While one of the measurement points is fixed on the outline, the other measurement point is scanned on the other outline, such that the distance between the pair of measurement points is minimized. The positions of the corresponding points are updated in synchronization with this. Whenever the corresponding points are updated, the diameter D is calculated, and a minimum value of the calculated diameters is determined as the diameter D of the cylindrical object.

Abstract: A surface definition module of a hair/fur pipeline may be used to generate a shape defining a surface and an associated volume. A control hair module may be used to fill the volume with control hairs and an interpolation module may be used to interpolate final hair strands from the control hairs.

Abstract: The binary processor of a digital camera turns an image targeted to recognize a particular shape into a binary image. The searcher searches for a valid pixel that is a pixel satisfying a given condition from the binary image. The determiner determines whether the region comprising a set of valid pixels has a particular shape when it is determined that a valid pixel is detected during the search. The retainer retains position information showing the position of the region comprising the set of valid pixels and determined to have the particular shape when the determiner determines that the region has the particular shape.

Abstract: When there are a plurality of detection candidate objects, to detect a target object that is appropriately visible as a whole, an information processing apparatus calculates detection likelihoods in a plurality of local areas of each of the plurality of detection target candidates, and a detection reliability of each of the detection target candidates based on a distribution of the detection likelihoods.

Abstract: A method to process radiological images is provided. The method comprises partitioning a radiological image of a region to be treated into a superimposition of layers, the region to be treated comprising at least one first structure and a second structure, wherein one layer solely comprises part of the first structure to be isolated from the remainder of the image, the layer solely comprising that part of the first structure to be isolated from the remainder of the image being determined by means of a parametric model of the first structure. The method further comprises determining an image of the region to be treated from the layering thus obtained, in which the isolated part of the first structure is omitted.

Abstract: Aspects of the disclosure relate generally to detecting the edges of lane lines. Specifically, a vehicle driving on a roadway may use a laser to collect data for the roadway. A computer may process the data received from the laser in order to extract the points which potentially reside on two lane lines defining a lane. The extracted points are used by the computer to determine a model of a left lane edge and a right lane edge for the lane. The model may be used to estimate a centerline between the two lane lines. All or some of the model and centerline estimates, may be used to maneuver a vehicle in real time and also to update or generate map information used to maneuver vehicles.

Abstract: Method of measuring a point cloud of an object includes obtaining the point cloud of the object from a storage device of the electronic device. Based on the point cloud, a triangular mesh surface is constructed and triangles of the triangular mesh surface are determined. According to the triangles, a reference plane is determined. According to the reference plane, a three dimensional (3D) object coordinate system is established. 3D object coordinates of points in the point cloud are calculated in the 3D object coordinate system. Measurement elements of a profile of the point cloud are determined and points in the point cloud corresponding to each of the measurement elements are determined. According to the 3D object coordinates of the determined points corresponding to each of the measurement elements, each of the measurement elements are fit. A distance and an angle of two fit measurement elements are calculated.

Abstract: Elements of an electronic image are organized into groups to obtain descriptive data associated with the electronic image. A wide field view of the electronic image is obtained from a first component and a higher resolution image of a selected portion of the wide field view of the electronic image is obtained from a second component to resolve ambiguity associated the selected portion of the wide field view of the electronic image. At least one primitive is formed using pixels of the electronic image, where the primitive is a curve primitive or a region primitive. The at least one primitive is analyzed using at least one level in a ladder of abstraction to organize elements of the electronic image into groups from which descriptive data can be obtained about at least one of objects or activities associated with the electronic image.

Abstract: A computer-implemented segmentation method is used to process an image representing a plurality of nuclei. The method is implemented in a computer having a processor and a physical memory. A set of instructions are provided to the processor the physical memory of the computer. The processor is configured by executing the set of instructions in the physical memory so as to automatically segment the image by: thresholding a grey-scale image to create a black and white image; identifying objects in the black and white image and removing objects failing to meet predetermined criteria; extracting objects; and applying an edge detector on the segmented image to identify the edges of the nuclei. Overlapping nuclei are split to improve results.

Abstract: A method for determining geometric properties of a target shape such as a shape of a perimeter of a strut shield (36) for use in a gas turbine (10). The method includes obtaining a digital image of at least a portion of a first object including a first feature (164) (106). The image including the first feature (164) is displayed on a display device (108). During a reconstruction process, one or more control points (168A, 168B, 168C, 168D) are associated with feature points (164A, 164B, 164C) along an extent of the displayed first feature (164) (109). Using the associated one or more control points (168A, 168B, 168C and 168D), a data file is created that corresponds to the first feature (164) (114). The data file includes geometric properties of the feature points (164A, 164B, 164C).

Abstract: An image processing apparatus includes a small area divider that divides, on the basis of edge information of an image, the image into multiple small areas each including multiple pixels; an attribute probability estimator that estimates attribute probability for each of the small areas, which is probability that the small area is attributed to a specific area to be detected; an adjacent-small-area connection strength calculator that calculates connection strength that quantitatively indicates a degree to which small areas adjacent to each other among the multiple small areas are attributed to the same area that is the specific area or a non-specific area; and a specific area detector that detects the specific area on the basis of the attribute probability and the connection strength.

Abstract: Systems and methods of providing an attractiveness analysis are disclosed. In some embodiments, an electronic analysis platform is configured to obtain image data and curvature data to provide an attractiveness analysis to a user via a physical interface. Curvature data could comprise any data indicative of a curvature of a physical feature or a depiction thereof, including shadow data and pixilation data.

Abstract: A photographing method that includes: acquiring to-be-photographed first content; after determining a first subject with which a user is concerned in the first content, acquiring an image composition relationship between a second subject in the first content and the first subject, where the second subject is another background subject in the first content except the first subject; matching the image composition relationship between the second subject and the first subject with a preset image composition template to obtain a matching evaluation degree, and providing an image composition adjustment suggestion on the first content for the user according to the matching evaluation degree and the image composition template, where the adjustment suggestion is a tip on how to adjust the image composition relationship in the first content so that the image composition relationship completely matches the preset image composition template.

Abstract: A method for recognizing an image and an apparatus using the same. The method includes: receiving image information including a first object and a second object; recognizing position information of the first object indicated by the second information in the received image information; extracting effective information included in the first object of the received image information in response to the recognized position information; and outputting related information corresponding to the recognized effective information.

Abstract: A method for identifying objects in a digital image includes tracing chain codes associated with the contour of the object; a series of states is maintained, and the next chain codes in the contour are accepted only if they comply with allowed chain codes for each state. Certain chain codes trigger a transition into a next state. If a disallowed chain code is encountered, the process halts.

Abstract: An activity recognition method, for recognizing continuous activities of several moving objects in the foreground of a video, includes: capturing and processing a training video to get a contour of a moving object; extracting a minimum bounding box of the contour in order to get parameters then transfer to feature vectors; constructing a decision tree model based on support vector machines (SVMs), for classifying the activities of the moving object according to the parameter and the feature vector of the training video; capturing and processing a testing video to get other parameters and using several formulas to generate feature vectors, and executing an algorithm for recognizing the activities of several moving objects in the foreground of the testing video. Said feature vectors are transformed from the parameters that in the testing and training videos. Via above descriptions, the method can recognize activities of foreground objects in the testing video.

Abstract: Provided is a method of detecting important information from a moving picture. The method includes: detecting first candidate areas that are presumed to include important information in a plurality of moving picture frames by using stop edge information, which is edge information overlapped at a same position throughout the plurality of moving picture frames, from among edge information in at least two received moving picture frames; determining second candidate areas by performing grouping on the stop edge information according to a position of the stop edge information in the first candidate areas; analyzing the second candidate areas determined in the at least two moving picture frames; and detecting important information areas from each of the at least two moving picture frames based on the analysis.

Abstract: An object detection device includes: a binary difference image generation unit for generating a binary difference image C by binarizing a difference value between a background image B, which is an image as a reference for the absence of a detection target object in the detection area, and a detection target image F which is an image as a detection target to detect a detection target object in the detection area; a binary second derivative image generation unit for generating a binary second derivative image D by binarizing second derivatives of the detection target image F or of a smoothed image F?, obtained by smoothing the detection target image F; and an object detection unit for detecting the detection target object based on a logical product of the binary difference image C and the binary second derivative image D.

Abstract: An image processing device includes an image acquisition section that acquires a captured image, the captured image having been captured by an imaging section, and including an image of an object, a distance information acquisition section that acquires distance information based on the distance from the imaging section to the object when the imaging section has captured the captured image, a known characteristic information selection section that selects known characteristic information corresponding to a motion amount, and outputs the selected known characteristic information, the known characteristic information being information that indicates known characteristics relating to the structure of the object, and a concavity-convexity information extraction section that extracts information that indicates a concavity-convexity part of the object that meets the characteristics specified by the selected known characteristic information from the distance information as extracted concavity-convexity information.

Abstract: An arc detecting apparatus includes an input unit that inputs an image; a line-segment detector that detects line segments from the image; a determiner that determines whether two of the line segments are associable with each other, on a basis of positions of the two line segments and angles of the two line segments relative to corresponding references; and an arc detector that detects an arc approximated by at least two line segments including the two line segments, on a basis of the two line segments being associated with each other according to a result of the determination.

Abstract: A server device determines a plurality of images for a query. One or more images, of the plurality of images, are associated with one or more senses of the query. The server device maps the plurality of images into a space by representing the plurality of images with corresponding points in the space; determines one or more hyperplanes in the space based on the corresponding points in the space; calculates one or more scores for the plurality of images based on the corresponding points and the one or more hyperplanes; and ranks the one or more images based on the one or more scores.

Abstract: An information processing apparatus for matching a position and/or orientation of a measurement object with that of a model of the measurement object includes an acquisition unit configured to acquire a captured image of the measurement object, a calculation unit configured to calculate information indicating a surface shape of the measurement object based on the captured image, and a limitation unit configured to limit a position and/or orientation of the model based on the information indicating the surface shape.

Abstract: A portable backscatter advanced imaging technology scanner with automated threat or target recognition including: a floor assembly having a cantilever drive assembly for rotating the floor assembly, the floor assembly being able to be partitioned into multiple parts for reassembly; at least one x-ray tube oriented towards selected sides of a test subject; a detector assembly oriented on the circumference of the floor assembly, the detector assembly being able to partitioned into multiple parts for reassembly; a storage unit to store images from detected scattered photons on the detector assembly; and a processing unit to detect, identify and classify concealed objects on the test subject.

Abstract: A method for recognizing heart diseases in a cardiac echo video of a heart with an unknown disease using a spatio-temporal disease model derived from a training echo video, comprising the steps of: generating a plurality of training models for heart diseases, wherein the cardiac echo videos are each derived from a known viewpoint and the disease of the heart is known; analyzing the video of the heart with the unknown disease by fitting a model of shape and motion for each frame and combining the results across the frames; and, reporting the disease using a classification method for choosing among the diseases of interest.

Abstract: A method for measuring shapes in thick multi-planar reformatted (MPR) digital images, including identifying a shape in a digital MPR image, scan-converting points corresponding to the identified shape on a starting plane of an MPR slab in an image volume from which the MPR was obtained to generate a plurality of starting points for the identified shape, calculating an end point in the MPR slab corresponding to each starting point, propagating a ray from each starting point to each corresponding end point, accumulating samples along each ray, and computing a desired measurement value from the accumulated samples after reaching the end point for all rays.

Abstract: The medical image diagnosis device of the invention includes image generating means configured to obtain image data of a tissue of an object and generate an image of the tissue of the object based on the image data, calculation means configured to calculate at least one of brightness and motion vectors of plural measurement points of the generated image, input means configured to specify an observation region of the image, a database in which a characteristic amount of at least one of the brightness and the motion vectors of the measurement points in respective images of plural different observation regions is set and stored in advance, checking means configured to read the characteristic amount of the observation region that is specified through the input means from the database and check the characteristic amount with results of calculation performed on the generated image by the calculation means, and ROI setting means configured to set a region of interest in the generated image based on checked results o

Abstract: The present invention is an automated and extensible system for the analysis and retrieval of images based on region-of-interest (ROI) analysis of one or more true objects depicted by an image. The system uses an ROI database that is a relational or analytical database containing searchable vectors that represent the images stored in a repository. Entries in the database are created by an image locator and ROI classifier that work to locate images within the repository and extract relevant information that will be stored in the ROI database. The ROI classifier analyzes objects in an image identify actual features of the true object. Graphical searches are performed by the collaborative workings of an image retrieval module, an image search requestor and an ROI query module. The image search requestor is an abstraction layer that translates user or agent search requests into the language understood by the ROI query.