Abstract: Techniques for associating a graphics object with one of a plurality of target regions of a graphical object template are disclosed. The graphics object is associated with one of the target regions based on the distance between the center of mass of the graphics object and the center of mass of the target region and the overlap amount of the graphics object with the target region. A pre-generated graphics object (stamp object) may also be automatically incorporated into one of the target regions based on the alignment of the minimum bounding box of the stamp object and the minimum bounding box of the target region.

Abstract: A character recognition accuracy from an image in which a graphic code and at least one character are in a given positional relationship is improved. An image acquisition section (20) acquires the image including the graphic code and the at least one character positioned outside the graphic code, which are in the given positional relationship. A deformation rule identification section (26) identifies a deformation rule for deforming the graphic code, which is included in the image acquired by the image acquisition section (20), to a graphic of a known type. A deformation processing execution section (28) executes, on the at least one character included in the image acquired by the image acquisition section (20), deformation processing based on the deformation rule identified by the deformation rule identification section (26).

Abstract: Search terms are derived automatically from images captured by a camera equipped cell phone, PDA, or other image capturing device, submitted to a search engine to obtain information of interest, and at least a portion of the resulting information is transmitted back locally to, or nearby, the device that captured the image.

Abstract: Methods for compressing hyperspectral image data include receiving sets of coefficients associated with each pixel of the hyperspectral image data, a set of basis vectors utilized to generate the dimensionally reduced data from the hyperspectral image, and either a maximum error value or maximum data size. The methods include associating the coefficients with a subset of the basis vectors, and storing the association. Methods of decompressing the compressed hyperspectral image data are also disclosed, utilizing the association.

Abstract: Techniques for calibrating a classification system, wherein one or more objects in at least one video are classified, are provided. At least one view associated with the at least one video is obtained. The at least one view is partitioned into at least one region. A given object is classified in accordance with its location in reference to the at least one region. In an additional embodiment, one or more object models are obtained. At least one normalized size of the one or more objects is defined within at least one view associated with the at least one video in accordance with the one or more object models. The one or more objects are classified in accordance with the at least one defined normalized size.

Abstract: A method, apparatus and system for synchronizing between two recording modes includes identifying a common event in the two recording modes. The event in time is recognized for a higher accuracy mode of the two modes. The event is predicted in a lower accuracy mode of the two modes by determining a time when the event occurred between frames in the lower accuracy mode. The event in the higher accuracy mode is synchronized to the lower accuracy mode to provide sub-frame accuracy alignment between the two modes. In one embodiment of the invention, the common event includes the closing of a clap slate, and the two modes include audio and video recording modes.

Abstract: A method, apparatus and program product are presented for determining an orientation of a Landold C in an image containing a plurality of pixels. A center of the Landolt C is determined. A plurality of rays is extended from the center of the Landolt C radially outward. A plurality of distances is determined, where each distance of the plurality of distances represents a distance from the center of the Landolt C to a darkest pixel along each ray of the plurality of rays. A peak in the plurality of distances is identified. And the orientation of the Landolt C is determined based on the peak in the plurality of distances.

Abstract: Provided is a method for determining the magnification of a pattern searching template of a scanning electron microscope. The determining method comprises: acquiring a first image initially at a first magnification; then acquiring a second image which contains a pattern image displayed on the first image at a second magnification lower than the first magnification; making the size of the first image coincident with the size of a third image which cut out a portion of the second image; thereafter determining the correlation value between the first image and the third image; and setting the second magnification as the magnification of a pattern searching template, in the case where the correlation value is equal to or higher than a predetermined value. As a result, a condition for acquiring a search area can be properly set, when pattern recognition is performed by means of the template.

Abstract: A printing apparatus includes a print drawing data storage storing first print drawing data from a print data generation apparatus, an administration information unit storing administration information of the first print drawing data, and an image processing unit. The print data generation apparatus includes a pattern data register registering pattern data corresponding to first image information, a pattern data converter, a first image converter converting the pattern data into the first print drawing data, a second image converter converting second image information into second print drawing data, and an image composition unit combining the first and second print drawing data. The image processing unit determines whether administration information of first print drawing data newly received and already stored in the administration information unit are the same. If so, the image processing unit combines the first print drawing data already stored and the second print drawing data.

Abstract: Search terms are derived automatically from images captured by a camera equipped cell phone, PDA, or other image capturing device, submitted to a search engine to obtain information of interest, and at least a portion of the resulting information is transmitted back locally to, or nearby, the device that captured the image.

Abstract: Method and apparatus for processing an image including a character are disclosed. The method may include: searching in a set of characters one or more characters having highest similarities of shape to a character in the set of characters, hereinafter the character being referred to as a first character, the one or more searched characters forming a similar character list of the first character; searching in the set of characters one or more characters having highest similarities of shape to each character in the similar character list of the first character, to form a similar character list of each character in the similar character list of the first character; and selecting in the similar character lists one or more characters having a high mutual similarity between each other, as a character cluster.

Abstract: A system and method for detection of signature marks in documents are provided. The method includes selecting candidate text objects in document pages and identifying a sequence of elements therein. The sequence has a numbering pattern including an incremental part and optionally a fixed part. Missing elements between two detected elements of the sequence are permitted. For an identified sequence, a model of the sequence is generated, which includes the numbering pattern of the sequence, an increment, which is computed based on the distance between pages on which consecutive elements of the sequence are identified, a valid sequence having an increment of greater than 1, and a first page, which corresponds to a page of the document on which the sequence starts. The sequence is then validated with the model, allowing elements of the sequence in the pages of the document to be identified as signature marks.

Abstract: Method for converting at least one image of a first spectrum into an image of a second spectrum, comprising: —recording at least one first-spectrum reference image (NRI) of at least one reference scene (RS) with a first-spectrum recording apparatus (1), the first-spectrum reference image (NRI) comprising first image portions with corresponding first-spectrum sensor reference data (b1, b2); —providing corresponding second-spectrum reference information (RGB); —providing at least one set of reference data (T1, T2) from at least part of the first-spectrum sensor reference data (b1, b2) relating to the reference scene (RS), and at least a corresponding part of the second-spectrum information (RGB) relating to that reference scene (RS); —providing at least one target first-spectrum image (NTI) or target second-spectrum image; and —converting each target first-spectrum image (NTI) or target second-spectrum image into a respective second-spectrum image (CI) or first-spectrum image, respectively, using the set of ref

Abstract: Embodiments of methods, apparatuses, devices and systems associated with one or more representative images are disclosed.

Abstract: A copy apparatus having a copy prevention function. The copy apparatus includes a scan unit to scan an image, a pattern detection unit to detect patterns corresponding to pre-stored copy prevention patterns from among patterns in the scanned image, and a control unit to prevent the image from being printed if a ratio of the detected patterns is identical to a ratio of the copy prevention patterns. Accordingly, even though money which has been enlarged or reduced in size is copied, the money is not copied due to the location ratio of the patterns in the image.

Abstract: A pattern identification unit generation method of generating a pattern identification unit in which a weak discriminator array obtained by cascade-connecting a plurality of weak discriminators branches, and weak discriminator arrays are connected to respective arms after branching, evaluates based on a processing result obtained by inputting a set of evaluation data to the weak discriminator array whether or not a weak discriminator array after branching reaches the number of stages to be connected. The number of stages of weak discriminators to be connected without branching as the weak discriminator array is determined based on this evaluation result.

Abstract: The present invention provides a method for an Optical Character Recognition (OCR) system providing recognition of characters that are partly hidden by crossing outs due to for example an imprint of a stamp, handwritten signatures, etc. The method establishes a set of template images of certainly recognized characters from the image of the text being processed by the OCR system, wherein the effect of the crossed out section is modelled into the template images before comparing these images with the image of a visually impaired crossed out character. The modelled template image having the highest similarity with the visually impaired crossed out character is the correct identification for the visually impaired character instance.

Abstract: A method for creating a plurality of layer images from an input image is provided. The method includes analyzing an input image for color content to detect at least one dominant color in the image and for shape recognition to detect at least one object in the image. The method also includes generating a concentric grid for the input image based on the color content analysis and the shape recognition for a depth calculation of the input image. The concentric grid includes a center point, a plurality of lines that radiate from the center point, and a plurality of concentric circles that expand at a spatial distance in the input image. The concentric circles divide the input image into a plurality of sections, each of which represents an equal spatial depth. The method further includes generating a plurality of layer images using at least two of the plurality of sections.

Abstract: In accordance with one embodiment, a method for remote identification of at least one gas includes sampling a plurality of spectral images of a scene wherein each spectral image is sampled at a different wavelength, providing a reference spectral image, and generating a spatial displacement expression by detecting the spatial misregistration in at least one region of the spectral images between the reference spectral image and at least one of the plurality of spectral images. At least one reference spatial displacement expression is provided corresponding to at least one gas, and at least one identification process is implemented to identify at least one gas. The identification process employs the generated spatial displacement expression and the at least one reference spatial displacement expression.

Abstract: The invention, at the first frame, records the background, as the threshold of detection-constant image with the predeterming minimum threshold, and with each subsequent frame, corrects the background and threshold with formulas while producing the adaptation of a renewal-constant in each pixel depending on the presence of the detected object, defines the difference between the current frame and background, compares it with the threshold, combines elements exceeding a threshold into detection zones, performs rejection of the detection zones, divides the zones in order to separate shadows, forms a tracking zone, searches already-detected segment of objects, forming clusters of the tracking zones. The coordinates of the obtained rectangles are assumed as the coordinates of the objects located in the frame.

Abstract: An image processing system providing a monitor image in which an image of a characteristic region is easily viewed. The image processing system includes an image obtaining section that obtains a moving image; a characteristic region information obtaining section that obtains information indicating positions of characteristic regions in a plurality of moving image constituting images included in the moving image; and an image generating section that generates display images having substantially the same size as each other, by reducing or enlarging each of images of the characteristic regions included in the plurality of moving image constituting images, based on the positions indicated by the information obtained by the characteristic region information obtaining section.

Abstract: Coherent motion regions extend in time as well as space, enforcing consistency in detected objects over long time periods and making the algorithm robust to noisy or short point tracks. As a result of enforcing the constraint that selected coherent motion regions contain disjoint sets of tracks defined in a three-dimensional space including a time dimension. An algorithm operates directly on raw, unconditioned low-level feature point tracks, and minimizes a global measure of the coherent motion regions. At least one discrete moving object is identified in a time series of video images based on the trajectory similarity factors, which is a measure of a maximum distance between a pair of feature point tracks.

Abstract: A recording device and a control method for a recording device improve the accuracy of reading MICR information while also shortening the time required for recording media processing. A dot impact printer 10 has a magnetic head 34 that magnetically reads MICR information recorded on a recording medium S, a recording head 18 that is mounted on a different carriage than the magnetic head 34 and records images on the recording medium S, and a back scanner 112 that optically reads MICR information recorded on the recording medium S, disposed sequentially to the transportation path P of the recording medium S. When reading the MICR information by means of the magnetic head 34 does not succeed, the recording medium S is conveyed to the back scanner 112, the MICR information is read by the back scanner 112, the reading results are compared, and the MICR information is identified.

Abstract: A device and method for processing an image to create appearance and shape labeled images of a person or object captured within the image. The appearance and shape labeled images are unique properties of the person or object and can be used to re-identify the person or object in subsequent images. The appearance labeled image is an aggregate of pre-stored appearance labels that are assigned to image segments of the image based on calculated appearance attributes of each image segment. The shape labeled image is an aggregate of pre-stored shape labels that are assigned to image segments of the image based on calculated shape attributes of each image segment. An identifying descriptor of the person or object can be computed based on both the appearance labeled image and the shape labeled image. The descriptor can be compared with other descriptors of later captured images to re-identify a person or object.

Abstract: Method and apparatus for synthesizing element arrangements from an example. Embodiments may synthesize element arrangement patterns from an example arrangement. Embodiments may combine a texture synthesis technique based on local neighborhood comparison of an example and a target with procedural modeling based on local growth. Given an example, connectivity of elements may be constructed to get neighborhoods information of each element. A synthesis process may start with a single seed and expand the synthesized pattern by placing new elements at seed locations one by one. A reference element may be selected from the example that has neighborhood features that are most similar to neighborhood features of the target seed in the synthesized pattern. A non-rotation mode, a rotation mode, and a flow field mode may be provided. A painting tool, a flow field tool, and a boundary tool may be provided.

Abstract: An image processing apparatus includes an information converting unit and an output unit. The information converting unit converts information into an information expression image formed by a dot arrangement pattern in which information is expressed by arranging a given number or less of dots in a unit display area which is an information unit. The output unit arranges the converted information expression image. The output unit superimposes the converted information expression image on image information. The output unit outputs the superimposed information expression image. In the dot arrangement pattern, the arrangement of the dots is determined so that the number of the dots denoting 1 or 0 of a bit sequence of a given error correction code word is a subset equal to or smaller than the given number, and the dot arrangement pattern is readable by a machine.

Abstract: Computer implemented methods for monitoring use of a computer and related systems and compositions of matter are disclosed herein. In various aspects, the methods may include the steps of associating an identified user with a computer, and capturing an image of a monitored region of a computer screen of the computer at a specified time. The methods include the steps of extracting image text from the image, determining image text content of the image text, and capturing a subsequent image of the monitored region of the computer screen of the computer at a subsequent time-subsequent to the specified time, in various aspects. A time difference between the specified time and the subsequent time is dependent upon image text content of the image text, in various aspects. The identified user does not control the associating step, the capturing step, the extracting step, the determining step, and the capturing a subsequent image step, in various aspects. This Abstract is presented to meet requirements of 37 C.F.R.

Abstract: The present invention is directed to an image managing apparatus allowing a user to acquire an image shot by other user participated in an event that the user participated in when a user shot images with the user's own camera but there was a period of time in which the user could not shoot due to some reason. The image management apparatus of the present invention is configured to sort a plurality of images shot by the user's camera based on a shooting time, calculate a non-shooting time period, extract an image shot by a camera of other user, which has a shooting time included in the non-shooting time period of the user. Further, the image management apparatus extracts an image having keywords, a shooting position, and object information, which are the same as an image shot by the camera of the user.

Abstract: The present invention is a method and system for extracting messages from a person using the body features presented by a user. The present invention captures a set of images and extracts a first set of body features, along with a set of contexts, and a set of meanings. From the first set of body features, the set of contexts, and the set of meanings, the present invention generates a set of words corresponding to the message that the person is attempting to convey. The present invention can also use the body features of the person in addition to the voice of the person to further improve the accuracy of extracting the person's message.

Abstract: A device and method for processing an image to create appearance and shape labeled images of a person or object captured within the image. The appearance and shape labeled images are unique properties of the person or object and can be used to re-identify the person or object in subsequent images. The appearance labeled image is an aggregate of pre-stored appearance labels that are assigned to image segments of the image based on calculated appearance attributes of each image segment. The shape labeled image is an aggregate of pre-stored shape labels that are assigned to image segments of the image based on calculated shape attributes of each image segment. An identifying descriptor of the person or object can be computed based on both the appearance labeled image and the shape labeled image. The descriptor can be compared with other descriptors of later captured images to re-identify a person or object.

Abstract: An image determination apparatus includes a first extraction unit, a second extraction unit, a calculation unit, and a correction unit. The first extraction unit extracts a first set from an image including linear components that are line-shaped components. The first set includes a linear component extending along a first direction and a linear component extending along a second direction intersecting the first direction. The second extraction unit extracts a second set including a linear component extending along a direction different from the first and second directions. The calculation unit calculates a likelihood for the first set extracted by the first extraction unit in accordance with a relationship between linear components included in the first set. The likelihood is a likelihood of a table being formed. The correction unit corrects the likelihood calculated by the calculation unit in accordance with a relationship between the first set and the second set.

Abstract: Embodiments of the invention present a system and method for controlling audio capture by a smart pen based computing system. An audio capture mechanism that is independent from a gesture capture system is included on the smart pen to control audio capture by one or more microphones included on the smart pen. In one embodiment, the audio capture mechanism comprises a shared function button, such as a power button. For example, a user interaction with the shared function button initiates audio capture by the one or more microphones on the smart pen and a second user interaction with the shared audio function stops audio capture. Alternatively, audio capture is stopped after completion of a predefined time interval after the user interaction with the shared function button.

Abstract: When computation of a three-dimensional measurement processing parameter is completed, accuracy of a computed parameter can easily be confirmed. After a parameter for three-dimensional measurement is computed through calibration processing using a calibration workpiece in which plural feature points whose positional relationship is well known can be extracted from an image produced by imaging, three-dimensional coordinate computing processing is performed using the computed parameter for the plural feature points included in the stereo image used to compute the parameter. Perspective transformation of each computed three-dimensional coordinate is performed to produce a projection image in which each post-perspective-transformation three-dimensional coordinate is expressed by a predetermined pattern, and the projection image is displayed on a monitor device.

Abstract: A handwriting recognition device includes a main body having a side surface and an operation surface perpendicularly connecting to the side surface, and a first lens module and a second lens module arranged at opposite sides of the side surface. A first optical axis of the first lens module extends to perpendicularly cross a second optical axis of the second camera module outside the side surface. An overlapped area of a view angle of the first lens module and a view angle of the second lens module is defined as an input area. The first lens module is configured to capture a first picture of a handwriting tool in the input area. The second lens module is configured to capture a second picture of the handwriting tool in the input area. The handwriting recognition device calculates coordinates of the handwriting tool according to the first and the second pictures.

Abstract: A method and a system for displaying an image based on texts in the image are provided. The method of the invention for displaying the image includes: a text extracting step, extracting text regions in the image to be displayed; a text occupancy amount calculating step, calculating occupancy amount of the text in said image; a comparing step, comparing the calculated occupancy amount with a predetermined threshold; a display step, displaying the image in real size of the image if said occupancy amount exceeds said predetermined threshold. It is achieved to display the image to the user in a manner of satisfying the viewing aim of the user, and unnecessary load of the computer system is avoided.

Abstract: A method for recognizing a music score included in an image and various information included in the music score, which may be obtained through a camera provided in a mobile terminal without requiring a separate editing program. The method includes detecting a region with staff lines from the image including the music score; detecting a region with an accompaniment chord from the image by taking the region with the staff lines and a region with a musical note into consideration; extracting and removing the staff lines from the music score included in the image; recognizing the musical note by extracting the musical note from the image, from which the staff lines have been removed; recognizing the accompaniment chord by extracting the accompaniment chord from the image, from which the staff lines have been removed; and generating data for reproducing a sound source corresponding to the musical note and accompaniment chord.

Abstract: A method for more efficiently detecting faces in images is disclosed. The integral image of an image may be calculated. The integral image may be sub-sampled to generate one or more sub-sampled integral images. A plurality of classifiers may be applied in one or more stages to regions of each sub-sampled integral image, where the application of the classifiers may produce classification data. The classification data may be used to determine if a face is associated with any of the regions of each sub-sampled integral image. The face determination results may be used to modify the original image such that, when rendered, the image is displayed with a graphical object identifying the face in the image. Accordingly, face detection processing efficiency may be increased by reducing the number of integral image calculations and processing localized data through application of classifiers to sub-sampled integral images.

Abstract: A method for temporal registration of a first sequence of images and a second sequence of second images is described.

Abstract: A method of measuring a shape of a specular reflective surface is provided. A pattern displayed on a surface of a target positioned at a target plane is produced from a specular reflective surface positioned at a measurement plane. An image of the reflection is recorded at an imaging plane. Positions of a plurality of points on the specular reflective surface relative to the imaging plane are determined. A first relation between feature positions on the image of the reflection and feature positions on the pattern is determined. The shape of the specular reflective surface is determined from a second relation involving a surface profile of the specular reflective surface and the first relation using the positions of the plurality of points as an initial condition.

Abstract: A method (100), an apparatus (1100), and a computer program product are disclosed for generating alignment marks. A basis pattern (120) and a high frequency component (130) are combined (140). The basis pattern is defined such that a scaled and rotated version of the basis pattern correlated with the basis pattern is substantially equal to the auto-correlation of the basis pattern within a complex multiplicative constant. The high frequency component is of sufficient energy for cross correlation without detriment to the basis pattern. The basis pattern may be generated from a basis function, which may be a logarithmic radial harmonic function (LRHF). The combination is output as at least one alignment mark having an increased maximum frequency. The method (100) may further comprise printing the at least one alignment mark on a print medium.

Abstract: An image processing apparatus executes acquiring, on a first image having a pattern having first areas and second areas that have a different color from the first areas, center position of the pattern where the first areas and the second areas cross, acquiring boundary positions between the first and second area, converting the first image to a second image having its image distortion corrected by using the center position and the boundary positions, acquiring, by scanning on the second image, expectation values which are areas including the point where the first and second areas cross excluding the center position, acquiring a intersection position of the intersection on the second image based on the expectation values, acquiring the center position and the positions on the first image corresponding to the intersection position by inverting the second image to the first image, determining the points corresponding to the acquired positions as features.

Abstract: A specified position in an array structure in which a reference pattern is displayed repetitively through reference pattern counting is identified. In an array structure image, the pattern detection estimating area generated from a starting point, the address of the starting point, and a unit vector are compared with a pattern detected position found in pattern matching with the reference pattern image, to execute pattern counting while determining correct detection, oversights, wrong detection, etc. Array structure images are photographed sequentially while moving the visual field with the use of an image shifting deflector to continue the pattern counting started at the starting point to identify the ending point specified with an address. If the ending point is not reached only with use of the image shifting deflector, the visual field moving range of the image shifting deflector is moved with use of a specimen stage.

Abstract: A pattern inspection apparatus includes: an optical image acquiring unit configured to acquire optical image data of a target object on which each of a plurality of identical patterns is respectively formed at a respective corresponding position of a plurality of forming positions with distortion; a cut-out unit configured to cut out a plurality of partial optical image data from the optical image data; a correction unit configured to correct positions of the plurality of partial optical image data by using distortion information from which each amount of distortion of the plurality of identical patterns respectively formed at the respective corresponding position of the plurality of forming positions on the target object can be acquired; and a comparison unit configured to compare a plurality of corrected partial optical image data against each other on a pixel to pixel basis.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for labeling images. In one aspect, a method includes automatically identifying an object in an image using a deep model-based and data-driven hybrid architecture.

Abstract: This invention relates generally to a method and apparatus, as implemented by a software program on a computer system, for digitally producing counterfeit-deterring scrambled or encoded indicia images. This method and system are capable of combining a source image with a latent image so the scrambled latent image is visible only when viewed through a special decoder lens. The digital processing allows different latent images to be encoded according to different parameters. Additionally, latent images might be encoded into single component colors of an original visible image, at various angles from each other.

Abstract: An image reading apparatus, which has reading means for reading images recorded on sheets and carries out predetermined processing for the images read using the reading means, comprising first extracting means for extracting a plurality of predetermined patterns from the images read using the reading means, second extracting means for extracting the combination information regarding the combination of the patterns from the images read using the reading means, and judging means for judging whether the combination of a plurality of the patterns extracted using the first extracting means coincides with the combination information extracted using the second extracting means or not, the predetermined processing being carried out on the basis of the result of the judgment made using the judging means.

Abstract: Systems and methods for automatic accurate and efficient segmentation and identification of one or more vertebra in digital medical images using a coarse-to-fine segmentation.

Abstract: The system and method as described herein can be advantageously used in a plurality of scenarios, two of which include field markup and data collection and collaborative review. The system and method handles the allocation of digital paper pattern background and the creation of required page definition files embedded into digital paper enabled PDFs. Optionally, action palettes can be automatically overlaid on the drawings as legend boxes to enable field personnel to select the operations they want to perform on the digital paper as they would on a computer interface. For instance letting users select the types of callouts and clouds to add to their markup. These drawings can be printed or plotted onto paper and sent to a work site for markup.

Abstract: A system that extracts text from an image includes a capture device that captures the image having a low resolution. An image segmentation subsystem partitions the image into image segments. An image restoration subsystem generates a resolution-expanded image from the image segments and negates degradation effects of the low-resolution image by transforming the image segments from a first domain to a second domain and deconvolving the transformed image segments in the second domain to determine parameters of the low-resolution image. A text recognition subsystem transforms the restored image data into computer readable text data based on the determined parameters.

Abstract: A method of obtaining contact information for a person or an entity is disclosed. The method comprises detecting a name of the person or the entity in a frame from a screen of a device; determining a presence status for the detected name based on one or more connectivity status for the detected name in one or more communication applications and/or one or more databases, where the one or more communication applications operate on the device from which the frame originates and where the one or more databases are accessible on the device; displaying the presence status on the screen of the device.